Data Engineer
Toronto, Ontario, Canada
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll work on
Full postingDesign, build, and maintain ETL/ELT pipelines in Azure Data Factory
Build and optimize PySpark and SQL transformations in Azure Databricks
Lead on-premises to Azure migrations of data platforms and ETL workflows
Tune Azure SQL data models and queries for performance
Monitor and troubleshoot pipelines and Azure resources
From the employer’s posting
Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF).
Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL).
Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications.
Design data models and perform query optimization and performance tuning using Azure SQL.
Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools.
Tools in this posting
- SQL
- Azure
- Databricks
- Delta Lake
- PySpark
Source — Tool mentions in context
Job Summary: Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF). Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL). Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications. Develop, deploy, and support applications using Azure App Service and Azure Functions. Design data models and perform query optimization and performance tuning using Azure SQL. Implement and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Delta Lake. Apply robust data orchestration, scheduling, and error-handling patterns to ensure reliable data processing. Leverage core Azure services such as VNets, Storage Accounts, Key Vault, and IAM to build secure and scalable cloud solutions. Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools. Required Skills & Qualifications Strong hands-on experience with Azure Data Factory (ADF). Proven expertise in Azure Databricks, including PySpark and SQL-based data transformations. Hands-on experience in developing and deploying solutions using Azure App Service and Azure Functions. Solid experience in on-premises-to-Azure migration projects, particularly for data platforms. Advanced SQL skills, including data modeling, query optimization, and performance tuning in Azure SQL. Working knowledge of Delta Lake, ADLS Gen2, and modern data lake architectures. Good understanding of core Azure services and cloud security best practices. Experience with monitoring and troubleshooting using Azure Monitor and Application Insights.
Posting record
Report an errorActively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 27, 2026 · 2 days ago
- Recorded sightings
- 4
- Last seen by us
- Oct 30, 2026
- Employer says posted
- Jul 31, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Job Summary: Key Responsibilities Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF). Build and optimize complex data transformation logic using Azure Databricks (PySpark and SQL). Lead and execute on-premises to Azure cloud migrations for data platforms, ETL workflows, and applications. Develop, deploy, and support applications using Azure App Service and Azure Functions. Design data models and perform query optimization and performance tuning using Azure SQL. Implement and manage data storage solutions using Azure Data Lake Storage Gen2 (ADLS Gen2) and Delta Lake. Apply robust data orchestration, scheduling, and error-handling patterns to ensure reliable data processing. Leverage core Azure services such as VNets, Storage Accounts, Key Vault, and IAM to build secure and scalable cloud solutions. Monitor, troubleshoot, and optimize data pipelines and Azure resources using appropriate monitoring tools. Required Skills & Qualifications Strong hands-on experience with Azure Data Factory (ADF). Proven expertise in Azure Databricks, including PySpark and SQL-based data transformations. Hands-on experience in developing and deploying solutions using Azure App Service and Azure Functions. Solid experience in on-premises-to-Azure migration projects, particularly for data platforms. Advanced SQL skills, including data modeling, query optimization, and performance tuning in Azure SQL. Working knowledge of Delta Lake, ADLS Gen2, and modern data lake architectures. Good understanding of core Azure services and cloud security best practices. Experience with monitoring and troubleshooting using Azure Monitor and Application Insights.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Toronto, Ontario, Canada
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- Work authorization
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