434 Datastage Etl jobs in Canada
ETL Developer – IBM DataStage
Toronto, Calgary
Astra North Infoteck Inc.
Posted 16 days ago
Job Viewed
Job Description
Skills Required: • IBM Infosphere DataStage• Unix Shell Scripting and text processing tools• MySQLJob Description: Key Responsibilities • Develop and implement ETL solutions• Design and build DataStage jobs to extract, transform, and load data from various sources into target data warehouses or data marts.Data Warehousing and Data Integration• Focus on data warehousing and data integration projects, ensuring data consistency and availability for business intelligence and analytics.Performance Tuning• Optimize the performance of ETL processes to meet business requirements and ensure efficient data processing.SDLC and Agile Methodologies• Participate in the software development lifecycle (SDLC) and potentially work within agile frameworks.Collaboration• Work with business analysts, data architects, and other developers to understand requirements and deliver high-quality solutions.Production Support• May be involved in providing support for existing DataStage jobs in production, including troubleshooting and resolving issues.Skills and Experience • IBM InfoSphere DataStage• Strong proficiency in using DataStage for ETL development.• SQL and Databases• Solid understanding of SQL and experience with relational databases like Oracle.• ETL Concepts• Deep understanding of ETL concepts, data warehousing principles, and data integration best practices.• Unix Linux• Experience with Unix Linux operating systems, including scripting (e.g., Unix Shell Scripting).• Data Modelling• Familiarity with data modelling concepts and techniques.• Agile and DevOps• Experience working in agile environments and potentially with DevOps practices
This advertiser has chosen not to accept applicants from your region.
0
Senior ETL Developer – IBM DataStage & Unix
Toronto, Ontario
Astra North Infoteck Inc.
Posted 7 days ago
Job Viewed
Job Description
• Skills Required: • Digital: Mongo DB• IBM Infosphere DataStage• Unix Administration• Job Description:• Key Responsibilities:o Develop and implement ETL solutionso Design and build DataStage jobs to extract, transform, and load data from various sources into target data warehouses or data marts.o Data Warehousing and Data Integration: Focus on data warehousing and data integration projects, ensuring data consistency and availability for business intelligence and analytics.o Performance Tuning: Optimize the performance of ETL processes to meet business requirements and ensure efficient data processing.o SDLC and Agile Methodologies: Participate in the software development lifecycle (SDLC) and potentially work within agile frameworks.o Collaboration: Work with business analysts, data architects, and other developers to understand requirements and deliver high-quality solutions.o Production Support: May be involved in providing support for existing DataStage jobs in production, including troubleshooting and resolving issues.• Skills and Experience:o IBM Infosphere DataStage: Strong proficiency in using DataStage for ETL development.o SQL and Databases: Solid understanding of SQL and experience with relational databases like Oracle.o ETL Concepts: Deep understanding of ETL concepts, data warehousing principles, and data integration best practices.o UNIX Linux: Experience with UNIX Linux operating systems, including scripting (e.g., Unix Shell Scripting).o Data Modelling: Familiarity with data modelling concepts and techniques.o Agile and DevOps: Experience working in agile environments and potentially with DevOps practices.• Additional Technical Skills:• 8+ years of strong design, development experience using C#, .NET Core, Web API, Angular/React, ASP.NET, MVC• 3+ years of strong development experience using SQL Server/Oracle/Sybase, complex procedures and SSIS• Resourcing experience in financial domain• Experience working with DevOps, source code management tools like Git, Sun, Jira, CUD, Jenkins• Experience working with Agile/Scrum/RAD development methodology• Nice to have container-based technologies like Docker, Kubernetes, OpenShift, cloud platform and familiar with big-data and cloud-based technologies• Nice to have experience in setting application in Linux/Windows, IIS/Nginx• Nice to have working experience with APAC Regulatory Reporting• Strong technical analytical skills to solve complex problems• Strategic thinker with excellent interpersonal skills to work across functions and businesses• Exp Required: 8 -10
This advertiser has chosen not to accept applicants from your region.
1
Data Engineer
Mississauga, Ontario
Genentech
Posted today
Job Viewed
Job Description
**The Position**
At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.
PTE is the organization that catalyzes the global development and execution of PT's Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.
We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.
**The Opportunity**
PTE works in partnership across major global business functions, establishing and implementing an overall Digital / Technology strategy and driving the delivery and scale of key data & digital solutions in support of our vision.
As a Data Engineer at Roche PT, you will play a pivotal role in developing and optimizing the data infrastructure that powers our pharmaceutical operations and data products. Working in multidisciplinary teams-including data scientists, subject matter experts, and fellow data engineers-you'll curate, transform, and construct features integral to our modeling approaches. You will support the delivery of data products and help establish standards to ensure consistency and quality.
**What You'll Do**
+ Design and build scalable data pipelines and storage solutions for real-time and batch processing aligned with SME needs.
+ Contribute to the creation of FAIR (Findable, Accessible, Interoperable, Reusable) data products that enhance decision-making and maintain data integrity, availability, and performance across platforms.
+ Collaborate with process experts to model data landscapes, obtain extracts, define secure exchange methods, and shape data products.
+ Acquire, ingest, and process data from diverse sources into Big Data platforms (e.g., Snowflake).
+ Develop ERDs and reusable pipelines, working with data scientists to map data to hypotheses and prepare it for advanced analytics.
+ Uphold data governance standards to ensure regulatory compliance and secure sensitive data. Address data quality issues to maintain asset accuracy and reliability.
+ Follow best practices in data engineering, including data contracts and validation, to ensure quality and integrity.
+ Contribute to a culture of continuous improvement in engineering practices (DevOps, Data Streaming, etc.).
+ Use data quality and observability tools, including Ataccama and Monte Carlo.
Additional Responsibilities
+ Ensure adherence to Information Security standards across engagements.
+ Collaborate with infrastructure teams to provide a technology stack tailored to project needs and aligned with our standards.
+ Contribute to templates and best practices for the technology stack.
+ Apply innovative techniques to deliver impact for clients and support internal R&D initiatives.
**Who you are:**
+ **Education:** Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
+ **Experience:**
+ 3+ years in data engineering with experience in designing large-scale systems.
+ Hands-on experience with GitLab/GIT, Airflow, Talend, AWS (S3, Lambda, etc.) and dbt.
+ Familiarity with data modeling, SQL, and Python for pipeline development and transformation logic.
+ Experience collaborating in cross-functional teams and applying data governance principles.
+ Experience in client-facing or collaborative project work is beneficial.
+ Ability to clearly communicate complex solutions to audiences of varied technical levels.
+ Strong organisational and interpersonal skills to deliver results, build relationships, and optimise resources.
**Preferred Qualifications:**
+ Experience in the pharmaceutical or healthcare industry is a plus.
+ Knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems.
+ Exposure to AI-driven data solutions and machine learning pipelines is an advantage.
This role calls for a collaborative, open-minded individual who values learning from colleagues, thoughtfully challenges ideas, and prioritizes impactful work. We seek someone who thrives in a dynamic environment, has a passion for continuous learning, and can be relied upon to work in the best interest of the team.
Relocation Assistance is not available for this role.
**The expected salary range for this position based on the primary location of Oceanside, CA is $97,900 - $181,900 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.**
**Benefits ( is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .
At Roche, we thrive to deliver more benefits to our patients as part of our 10-year Pharma vision. An integral part of achieving this vision is to deliver new and innovative data analytics solutions to our scientists across Pharma Technical Operations (PT). To do so, we have formed a new organization called PT Digital and Operational Excellence (PTE) with the aspiration to digitally transform and become a lean organization.
PTE is the organization that catalyzes the global development and execution of PT's Digital and Operational Excellence strategy to enable PT to realize our performance promises. We build a strong cross-functional and inclusive community, put the power of data into the hands of our people, further develop the Lean and Digital skills across PT, and scale up our Digital and Advanced Analytics solutions, for the benefit of our colleagues and patients.
We aim to activate data citizenship and digital mind, revolutionize our FAIR data ecosystem and systems landscape, re-design excellent processes, and generate transformative insights. We collaborate closely with global functions to deliver impactful value to our patients.
**The Opportunity**
PTE works in partnership across major global business functions, establishing and implementing an overall Digital / Technology strategy and driving the delivery and scale of key data & digital solutions in support of our vision.
As a Data Engineer at Roche PT, you will play a pivotal role in developing and optimizing the data infrastructure that powers our pharmaceutical operations and data products. Working in multidisciplinary teams-including data scientists, subject matter experts, and fellow data engineers-you'll curate, transform, and construct features integral to our modeling approaches. You will support the delivery of data products and help establish standards to ensure consistency and quality.
**What You'll Do**
+ Design and build scalable data pipelines and storage solutions for real-time and batch processing aligned with SME needs.
+ Contribute to the creation of FAIR (Findable, Accessible, Interoperable, Reusable) data products that enhance decision-making and maintain data integrity, availability, and performance across platforms.
+ Collaborate with process experts to model data landscapes, obtain extracts, define secure exchange methods, and shape data products.
+ Acquire, ingest, and process data from diverse sources into Big Data platforms (e.g., Snowflake).
+ Develop ERDs and reusable pipelines, working with data scientists to map data to hypotheses and prepare it for advanced analytics.
+ Uphold data governance standards to ensure regulatory compliance and secure sensitive data. Address data quality issues to maintain asset accuracy and reliability.
+ Follow best practices in data engineering, including data contracts and validation, to ensure quality and integrity.
+ Contribute to a culture of continuous improvement in engineering practices (DevOps, Data Streaming, etc.).
+ Use data quality and observability tools, including Ataccama and Monte Carlo.
Additional Responsibilities
+ Ensure adherence to Information Security standards across engagements.
+ Collaborate with infrastructure teams to provide a technology stack tailored to project needs and aligned with our standards.
+ Contribute to templates and best practices for the technology stack.
+ Apply innovative techniques to deliver impact for clients and support internal R&D initiatives.
**Who you are:**
+ **Education:** Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
+ **Experience:**
+ 3+ years in data engineering with experience in designing large-scale systems.
+ Hands-on experience with GitLab/GIT, Airflow, Talend, AWS (S3, Lambda, etc.) and dbt.
+ Familiarity with data modeling, SQL, and Python for pipeline development and transformation logic.
+ Experience collaborating in cross-functional teams and applying data governance principles.
+ Experience in client-facing or collaborative project work is beneficial.
+ Ability to clearly communicate complex solutions to audiences of varied technical levels.
+ Strong organisational and interpersonal skills to deliver results, build relationships, and optimise resources.
**Preferred Qualifications:**
+ Experience in the pharmaceutical or healthcare industry is a plus.
+ Knowledge of regulatory requirements (e.g., GMP, FDA) and Quality systems.
+ Exposure to AI-driven data solutions and machine learning pipelines is an advantage.
This role calls for a collaborative, open-minded individual who values learning from colleagues, thoughtfully challenges ideas, and prioritizes impactful work. We seek someone who thrives in a dynamic environment, has a passion for continuous learning, and can be relied upon to work in the best interest of the team.
Relocation Assistance is not available for this role.
**The expected salary range for this position based on the primary location of Oceanside, CA is $97,900 - $181,900 . Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below.**
**Benefits ( is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws.
If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants ( .
This advertiser has chosen not to accept applicants from your region.
2
Data Engineer
Toronto, Ontario
Manulife
Posted 1 day ago
Job Viewed
Job Description
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
This advertiser has chosen not to accept applicants from your region.
3
Data Engineer
Waterloo, Ontario
Manulife
Posted 1 day ago
Job Viewed
Job Description
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ 3 to 4 years of relevant industry experience as Data Engineer.
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines.
+ Good knowledge of data warehousing concepts and relational data modelling.
+ Strong hands-on knowledge of Python, PySpark, and T-SQL along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ Proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**_When you join our team:_**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our global team, we'll support you in shaping the future you want to see.
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
This advertiser has chosen not to accept applicants from your region.
4
Data Engineer
Mississauga, Ontario
Insight Global
Posted 2 days ago
Job Viewed
Job Description
Job Description
We are seeking a highly skilled and proactive Data Engineer to join our Data Management team, with a focus on optimizing cloud-based analytics infrastructure and mentoring technical analysts. This role is critical to enabling data-driven decision-making by ensuring fast, reliable, and governed access to data across the organization. You will work within a cloud-first environment (primarily AWS) to assess and enhance existing data pipelines, reporting workflows, and architecture-especially those built during a recent ERP transition. You'll also support metadata and master data management initiatives, collaborate across technical and business teams, and help build scalable, secure, and well-governed data solutions.
- Mentor and upskill technical Data Analysts, providing guidance on cloud data engineering best practices.
- Evaluate and optimize existing analytics architecture, workflows, and pipelines-especially those supporting Power BI reporting from AWS Redshift.
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for efficient data integration, transformation, and reporting.
- Automate data workflows including validation, monitoring, and CI/CD-based deployments.
- Ensure data quality, consistency, and integrity through validation frameworks and anomaly detection.
- Support metadata management and governance by building connectors and workflows for platforms like Collibra, Informatica, Microsoft Purview, and Ataccama.
- Integrate master data sources (e.g., SAP, Salesforce, Workforce Software) to ensure consistency and a single source of truth.
- Collaborate with architecture leads and business stakeholders to align technical solutions with organizational goals and future capabilities.
- Support migration efforts from legacy dashboards (e.g., Qlik on-prem) to cloud platforms, with a priority on Power BI.
- Contribute to RFPs and platform evaluations for metadata and governance tools.
- Monitor and optimize database performance, storage efficiency, and data processing speed.
- Implement data governance and security at the infrastructure level in compliance with enterprise policies and industry regulations.
Stay current with modern data architecture trends (e.g., Lakehouse, containerization, orchestration)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 3-5 years of hands-on experience in cloud data engineering, with strong expertise in AWS (Redshift, Glue, Lambda, S3, IAM, Step Functions).
- Familiarity with Azure, GCP, and cloud-agnostic architectures to support POCs and evolving platform needs.
- Strong proficiency in SQL (including Spark SQL), Python (PySpark), and Scala.
- Experience with ETL/ELT tools (e.g., AWS Glue, Apache Airflow).
- Experience with big data technologies (e.g., Spark, Redshift, Kafka, Iceberg).
- Experience with NoSQL databases (e.g., DynamoDB, MongoDB).
- Experience managing infrastructure with IaC tools (e.g., Terraform, CloudFormation) and container orchestration (e.g., Docker, Kubernetes).
- Experience designing and implementing CI/CD pipelines using GitHub Actions, SonarQube, etc.
- Solid understanding of cloud monitoring and logging tools (e.g., CloudWatch).
Strong communication and collaboration skills across technical and business teams. - Experience with metadata management and governance platforms (e.g., Collibra, Atlan, Informatica MDM, Microsoft Purview).
- Comfortable providing technical guidance and mentorship to peers and stakeholders.
- Exposure to master data management practices and integration with platforms like SAP, Salesforce, and Snowflake.
- Experience working in ERP transition environments and optimizing rushed reporting setups.
Ability to work independently and make informed decisions with minimal guidance.
We are seeking a highly skilled and proactive Data Engineer to join our Data Management team, with a focus on optimizing cloud-based analytics infrastructure and mentoring technical analysts. This role is critical to enabling data-driven decision-making by ensuring fast, reliable, and governed access to data across the organization. You will work within a cloud-first environment (primarily AWS) to assess and enhance existing data pipelines, reporting workflows, and architecture-especially those built during a recent ERP transition. You'll also support metadata and master data management initiatives, collaborate across technical and business teams, and help build scalable, secure, and well-governed data solutions.
- Mentor and upskill technical Data Analysts, providing guidance on cloud data engineering best practices.
- Evaluate and optimize existing analytics architecture, workflows, and pipelines-especially those supporting Power BI reporting from AWS Redshift.
- Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for efficient data integration, transformation, and reporting.
- Automate data workflows including validation, monitoring, and CI/CD-based deployments.
- Ensure data quality, consistency, and integrity through validation frameworks and anomaly detection.
- Support metadata management and governance by building connectors and workflows for platforms like Collibra, Informatica, Microsoft Purview, and Ataccama.
- Integrate master data sources (e.g., SAP, Salesforce, Workforce Software) to ensure consistency and a single source of truth.
- Collaborate with architecture leads and business stakeholders to align technical solutions with organizational goals and future capabilities.
- Support migration efforts from legacy dashboards (e.g., Qlik on-prem) to cloud platforms, with a priority on Power BI.
- Contribute to RFPs and platform evaluations for metadata and governance tools.
- Monitor and optimize database performance, storage efficiency, and data processing speed.
- Implement data governance and security at the infrastructure level in compliance with enterprise policies and industry regulations.
Stay current with modern data architecture trends (e.g., Lakehouse, containerization, orchestration)
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 3-5 years of hands-on experience in cloud data engineering, with strong expertise in AWS (Redshift, Glue, Lambda, S3, IAM, Step Functions).
- Familiarity with Azure, GCP, and cloud-agnostic architectures to support POCs and evolving platform needs.
- Strong proficiency in SQL (including Spark SQL), Python (PySpark), and Scala.
- Experience with ETL/ELT tools (e.g., AWS Glue, Apache Airflow).
- Experience with big data technologies (e.g., Spark, Redshift, Kafka, Iceberg).
- Experience with NoSQL databases (e.g., DynamoDB, MongoDB).
- Experience managing infrastructure with IaC tools (e.g., Terraform, CloudFormation) and container orchestration (e.g., Docker, Kubernetes).
- Experience designing and implementing CI/CD pipelines using GitHub Actions, SonarQube, etc.
- Solid understanding of cloud monitoring and logging tools (e.g., CloudWatch).
Strong communication and collaboration skills across technical and business teams. - Experience with metadata management and governance platforms (e.g., Collibra, Atlan, Informatica MDM, Microsoft Purview).
- Comfortable providing technical guidance and mentorship to peers and stakeholders.
- Exposure to master data management practices and integration with platforms like SAP, Salesforce, and Snowflake.
- Experience working in ERP transition environments and optimizing rushed reporting setups.
Ability to work independently and make informed decisions with minimal guidance.
This advertiser has chosen not to accept applicants from your region.
5
Data Engineer
Waterloo, Ontario
Manulife
Posted 3 days ago
Job Viewed
Job Description
Join us at Manulife and be part of a team that strives for excellence, where your efforts will directly contribute to our success. Here, your work will have an important impact, and you'll be empowered to make decisions that improve our marketing strategies and customer experience.
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
+ Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
+ Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
+ Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
+ Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ **4** or more years of relevant industry experience as Data Engineer
+ Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Good knowledge of data warehousing concepts and relational data modelling
+ Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
+ Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural
+ Experience in Data processing, performance analysis, tuning and capacity planning
**Preferred Qualifications:**
+ Excellent communication and interpersonal skills
+ Excellent analytical, problem solving and solutioning skills
+ A capacity for constant learning from both success and failure, remaining open to change and continuous improvement
+ Familiarity with production release and operational support model
**_When you join our team_** **:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
CAN, Ontario, Waterloo, 500 King Street North
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
As a Data Engineer at Manulife, you would play a critical role in the development and maintenance of the company's data systems and architecture. You would collaborate with other highly skilled data engineers, data architects and governance team in designing, developing, and deploying data pipelines, ETL processes, and other data integration solutions to extract, transform, and load data from various sources into Manulife's data warehouse.
This Data Engineer role is essential for driving efficiency and innovation within our organization. By developing and maintaining automation, this position helps streamline operations and improve efficiency, contributing to our mission of delivering high-quality products and platform services. This role is integral to our goal of continuous improvement and operational excellence.
**Position Responsibilities:**
+ Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Azure Databricks, and other relevant services
+ Develop and maintain the company's data architecture, including data models, schemas, and data dictionaries.
+ Integrate data from various sources, ensuring data quality and consistency, and prepare it for analytical and operational use
+ Follow consistency of data governance policies and processes to ensure data security, privacy, and compliance.
+ Collaborate with other data professionals, including data scientists, analysts, and business team members, to understand data requirements and develop solutions to meet those needs.
+ Stay up to date with the latest tools and technologies and see opportunities to enhance Manulife's data infrastructure.
+ Ability to learn and implement best practices of big data and cloud computing to ensure solutions are scalable, efficient, and effective.
**Required Qualifications:**
+ **4** or more years of relevant industry experience as Data Engineer
+ Experience in building and operationalizing Data pipelines in cloud MS Azure using Azure Data Factory, Azure Databricks.
+ Experience in automating data pipelines and familiarity with DevOps and CICD pipelines
+ Good working knowledge on MS azure services (SQL Queries, ADLS gen 2, ADF, Databricks, Synapse, SQL Server) to design a data ecosystem.
+ Good knowledge of data warehousing concepts and relational data modelling
+ Familiarity with programming in both compile languages (Java, Scala) and scripting languages (Python, SQL, R)
+ Understanding of Agile scrum methodologies and experience of working in an Agile team, with exposure to and working understanding of collaboration tools like Teams, JIRA, Mural
+ Experience in Data processing, performance analysis, tuning and capacity planning
**Preferred Qualifications:**
+ Excellent communication and interpersonal skills
+ Excellent analytical, problem solving and solutioning skills
+ A capacity for constant learning from both success and failure, remaining open to change and continuous improvement
+ Familiarity with production release and operational support model
**_When you join our team_** **:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
CAN, Ontario, Waterloo, 500 King Street North
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$75,880.00 CAD - $140,920.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
This advertiser has chosen not to accept applicants from your region.
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6
Data Engineer
Waterloo, Ontario
Manulife
Posted 14 days ago
Job Viewed
Job Description
As a market leader, Manulife / John Hancock is dedicated to delivering an exceptional experience to our customers and end users. Technology is the most important enabler in our ability to provide that experience and generate business.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
This advertiser has chosen not to accept applicants from your region.
7
Data Engineer
Toronto, Ontario
Manulife
Posted 14 days ago
Job Viewed
Job Description
As a market leader, Manulife / John Hancock is dedicated to delivering an exceptional experience to our customers and end users. Technology is the most important enabler in our ability to provide that experience and generate business.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
We are seeking a highly skilled and experienced Senior Data Engineer to join the Canada Data Office here at Manulife!
The ideal candidate will be leading a team of engineers responsible for the building, maintenance, improvements, and support of new and existing Azure data pipelines for various analytical use cases.
Collaboration with multi-functional teams and understanding data and using it to serve our businesses and operations whilst ensuring alignment to Manulife's IT security and risk guidelines is essential to delivering high quality, scalable software solutions.
Are you a self-starter who loves technical challenges and looking for your next step as an Engineering Leader? Are you passionate about building high-quality, user-friendly solutions? If so, then we want to hear from you!
**Position Responsibilities:**
+ Design, develop, and manage data pipelines that facilitate the detailed extraction, transformation, and loading of data from diverse sources.
+ Automate infrastructure provisioning and deployment using tools such as Terraform.
+ Collaborate with Architecture, security, and risk teams to implement the latest guidelines and Azure standard methodologies.
+ Collaborate with business collaborators to suggest data solutions that align with business goals and improve decision-making processes
+ Demonstrate a solid understanding of data privacy and compliance regulations and best-practices
**Required Qualifications:**
+ Bachelor's degree or equivalent experience in computer/IT or data-related fields is required, with a Master's degree being a plus.
+ 6+ years of previous data engineering experience with Azure-related data technologies.
+ Solid understanding of Azure infrastructure, including subscriptions, resource groups, resources, access control with RBAC (role-based access control), integrations with Azure AD, and Azure security principles (user group, service principal, managed identity), network concepts (VNet, Subnet, NSG rules, private endpoints), password/credential/key management, and data protection.
+ Strong hands-on knowledge of Azure Databricks, ADF, ADLS, Synapse Serverless/dedicated/spark pools, Python, PySpark, and T-SQL, along with experience crafting and developing scripts for ETL processes and automation in Azure Data Factory and Azure Databricks.
+ High proficiency in GIT/Jenkins/dev ops processes to maintain and resolve issues with data pipelines in production.
**Preferred Qualifications:**
+ Knowledge of implementing Azure technologies and networking via Terraform, along with the ability to fix issues with Azure infrastructure in production.
+ Experience with data modelling, data mart, data lakehouse architecture, SCD, data mesh, and delta lake overall.
**When you join our team:**
+ We'll empower you to learn and grow the career you want.
+ We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
+ As part of our distributed team, we'll support you in crafting the future you want to see!
**Acerca de Manulife y John Hancock**
Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite .
**Manulife es un empleador que ofrece igualdad de oportunidades**
En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente.
Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a .
**Referenced Salary Location**
Toronto, Ontario
**Modalidades de Trabajo**
Híbrido
**Salary range is expected to be between**
$94,220.00 CAD - $174,980.00 CAD
Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual.
Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.
This advertiser has chosen not to accept applicants from your region.
8
Data Engineer
Toronto, Ontario
Insight Global
Posted 15 days ago
Job Viewed
Job Description
Job Description
Insight Global is seeking a Data Engineer to join our client's data team and support ongoing efforts to build scalable, reliable data pipelines and solutions. The ideal candidate will be responsible for designing and implementing ETL processes, integrating data from various sources, and supporting the development of data warehousing and analytics infrastructure.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 5+ years Python development, with strong ETL/data pipeline experience.
- Hands-on with Apache Airflow (DAG authoring, scheduling, troubleshooting).
- Proficient with Docker and container orchestration (OpenShift / Kubernetes).
- Experience with SQL Server, PostgreSQL, and S3 data sources.
- Experience building and optimizing data pipelines with PySpark.
- Familiarity with CI/CD (GitHub Actions or similar).
- Strong Linux and shell scripting skills.
- Excellent communication and documentation abilities. - Exposure to Snowflake and/or Databricks (optional).
Insight Global is seeking a Data Engineer to join our client's data team and support ongoing efforts to build scalable, reliable data pipelines and solutions. The ideal candidate will be responsible for designing and implementing ETL processes, integrating data from various sources, and supporting the development of data warehousing and analytics infrastructure.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: and Requirements
- 5+ years Python development, with strong ETL/data pipeline experience.
- Hands-on with Apache Airflow (DAG authoring, scheduling, troubleshooting).
- Proficient with Docker and container orchestration (OpenShift / Kubernetes).
- Experience with SQL Server, PostgreSQL, and S3 data sources.
- Experience building and optimizing data pipelines with PySpark.
- Familiarity with CI/CD (GitHub Actions or similar).
- Strong Linux and shell scripting skills.
- Excellent communication and documentation abilities. - Exposure to Snowflake and/or Databricks (optional).
This advertiser has chosen not to accept applicants from your region.
9