85 Azure Engineer jobs in Canada

Job Description

Position Overview

We are seeking a skilled Azure Cloud Engineer to design, deploy, and maintain cloud infrastructure and applications on Microsoft Azure . The ideal candidate will have expertise in Azure services, automation, security, and DevOps practices. This role requires close collaboration with development, operations, and architecture teams to deliver secure, scalable, and cost-efficient cloud solutions.

• Design, build, and manage cloud infrastructure and applications on Microsoft Azure .

• Implement Infrastructure as Code (IaC) using Terraform, ARM Templates, or Bicep .

• Deploy, configure, and manage Azure services such as Azure Virtual Machines, Azure App Services, Azure Kubernetes Service (AKS), Azure Functions, Blob Storage, VNETs, and Azure Active Directory .

• Automate deployment and management tasks using PowerShell, Azure CLI, or Python .

• Build and maintain CI/CD pipelines with Azure DevOps, GitHub Actions, or Jenkins .

• Monitor and troubleshoot system performance, availability, and cost optimization.

• Ensure compliance with the Microsoft Cloud Adoption Framework and security best practices .

• Integrate Azure services with on-premises and hybrid cloud environments.

• Work with cross-functional teams to support cloud transformation and migration projects.

• Stay updated with the latest Azure features and recommend best practices.

• Bachelors degree in Computer Science, Information Technology, or related field.

• 3+ years of hands-on experience with Azure cloud engineering and operations.

• Strong expertise in Azure services (Azure VM, AKS, Azure Functions, App Service, Blob Storage, SQL Database, Azure AD, Key Vault, etc.).

• Experience with containerization and orchestration (Docker, Kubernetes, AKS).

• Knowledge of DevOps, CI/CD pipelines, and Git-based workflows .

• Proficiency in scripting and automation with PowerShell, Bash, or Python .

• Strong understanding of networking (DNS, VPN, Load Balancers, Firewalls, NSG).

• Experience with monitoring and logging tools (Azure Monitor, Log Analytics, Application Insights).

• Excellent problem-solving, communication, and teamwork skills.

• Microsoft Azure Certifications such as:

  • Microsoft Certified: Azure Administrator Associate (AZ-104)

  • Microsoft Certified: Azure Solutions Architect Expert (AZ-305)

  • Microsoft Certified: DevOps Engineer Expert (AZ-400)

• Experience with hybrid cloud and on-premises integration .

• Familiarity with serverless computing and event-driven architectures.

• Knowledge of Agile/Scrum methodologies.

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Paid training and support for Azure certifications.

• Remote and hybrid work opportunities.

• Opportunities to work with large-scale Azure enterprise projects.

Job Description

Salary:

We are looking for a Build/Release/DevOps Engineer with a strong foundation in tooling, automation, and collaborative DevOps practices. You will be responsible for administering and optimizing our Azure DevOps and GitHub environments, enhancing CI/CD pipelines, and ensuring seamless integrations with tools like SonarQube and Nexus IQ. Strong people skills and the ability to work cross-functionally are key to thriving in this role.

This is a contractual hybrid role for a period of 6 months, with the potential for extension. The candidate must work from the Toronto office 3 days/ week.

Key Responsibilities:

• Administer and manage Azure DevOps Organization and Project-level settings, including user access, permissions, and policies.
• Design, create, maintain, and troubleshoot Azure DevOps Pipelines (classic and YAML-based).
• Integrate and administer SonarQube for continuous code quality checks.
• Configure and maintain Nexus IQ for software composition analysis and security policy enforcement.
• Administer and optimize GitHub Organization and Project settings, including team and repo management.
• Set up, monitor, and troubleshoot GitHub Actions CI/CD workflows.
• Develop and maintain automation scripts to streamline DevOps operations and infrastructure workflows.
• Collaborate with development and QA teams to support secure, scalable, and reliable build/release pipelines.
• Document processes and mentor team members on tooling best practices.
• Participate actively in agile planning and work tracking through tools such as Jira.

Required Skills & Experience:

• Proven expertise in Azure DevOps Organization and Project Administration.
• Deep knowledge of Azure DevOps Pipelines (creation, maintenance, troubleshooting).
• Hands-on experience with SonarQube and Nexus IQ (setup, integration, administration).
• Solid experience managing GitHub Orgs and Projects, including access control, repo management, and configuration.
• Advanced knowledge of GitHub Actions for building CI/CD workflows.
• Strong scripting abilities (PowerShell, Bash, Python, or similar).
• Experience in CI/CD pipeline architecture, monitoring, and optimization.
• Demonstrated collaboration and communication skills; comfortable working cross-functionally and mentoring peers.

We offer a competitive salary, casual workspace, and great people to collaborate with. If this job sounds perfect for you, please apply.

Job Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

We are looking for a Data Engineer to join our growing team of analytics experts. The right candidate will have strong analytical skills and the ability to combine data from different sources and will strive for efficiency by aligning data systems with business goals.

Requirements

• Bachelor’s degree in Computer Science or similar field
• 4+ years of experience in IT industry
• Expertise in Python and Pyspark
• Experience building data pipelines using Azure stack
• 2+ years of experience using Apache spark
• Good working experience on Delta Lake and ETL processing
• Proficiency in SQL queries
• Prior experience of working in a Unix environment
• Experience in harmonizing raw data into a consumer-friendly format using Azure Databricks
• Experience extracting/querying/joining large data sets at scale
• Experience building data ingestion pipelines using Azure Data Factory to ingest structured and unstructured data
• Experience in data wrangling, advanced analytic modeling is preferred
• Exposure to Java is a plus
• Strong communication and organizational skills

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Job Description

Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, we are solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, UK, Canada, and Singapore, including a
substantial remote global workforce.

We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.

Requirements

Curious about the role? What your typical day would look like?

As a Principal Data Engineer (Azure), you would have hands on experience working on Azure as cloud, Databricks and some exposure/experience on Data Modelling. You will build and learn about a variety of analytics solutions & platforms, data lakes, modern data platforms, data fabric solutions, etc. using different Open Source, Big Data, and Cloud technologies on Microsoft Azure.

● Design and build scalable & metadata-driven data ingestion pipelines (For Batch and Streaming Datasets)

● Conceptualize and execute high-performance data processing for structured and unstructured data, and data
harmonization

● Schedule, orchestrate, and validate pipelines

● Design exception handling and log monitoring for debugging

● Ideate with your peers to make tech stack and tools-related decisions

● Interact and collaborate with multiple teams (Consulting/Data Science & App Dev) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.

What do we expect?

● Experience in implementing Data Lake with technologies like Azure Data Factory (ADF), PySpark, Databricks, ADLS,

Azure SQL Database

● A comprehensive foundation with working knowledge of Azure Synapse Analytics, Event Hub & Streaming
Analytics, Cosmos DB, and Purview

● A passion for writing high-quality code and the code should be modular, scalable, and free of bugs (debugging
skills in SQL, Python, or Scala/Java).

● Enthuse to collaborate with various stakeholders across the organization and take complete ownership of
deliverables.

● Experience in using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic Search

● Adept understanding of different file formats like Delta Lake, Avro, Parquet, JSON, and CSV

● Good knowledge of building and designing REST APIs with real-time experience working on Data Lake or
Lakehouse projects.

● Experience in supporting BI and Data Science teams in consuming the data in a secure and governed manner

● Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE) are
valuable addition.

Note: The designation will be commensurate with expertise and experience. Compensation packages are among the best in the industry.

Job Requirement

• Mandatory: Azure Data Factory (ADF), PySpark, Databricks, ADLS, Azure SQL Database
• Optional: Azure Synapse Analytics, Event Hub & Streaming Analytics, Cosmos DB and Purview.
• Strong programming, unit testing & debugging skills in SQL, Python or Scala/Java.
• Some experience of using big data technologies like Hadoop, Spark, Airflow, NiFi, Kafka, Hive, Neo4J, Elastic
  Search.
• Good Understanding of different file formats like Delta Lake, Avro, Parquet, JSON and CSV.
• Experience of working in Agile projects and following DevOps processes with technologies like Git, Jenkins & Azure DevOps.
• Good to have:
• Experience of working on Data Lake & Lakehouse projects
• Experience of building REST services and implementing service-oriented architectures.
• Experience of supporting BI and Data Science teams in consuming the data in a secure and governed manner.
• Certifications like Data Engineering on Microsoft Azure (DP-203) or Databricks Certified Developer (DE)

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.