Azure Databricks
Design and develop ETL pipelines using Azure Databricks and Delta Lake, focusing on batch processing and structured streaming. Manage end-to-end environments using Unity Catalog and implement data governance and security practices.
- On-site
- Toronto, ON
- Posted Aug 13, 2026
- Apply by Sep 12, 2026
- 1 position
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Job summary
Azure Databricks Location: Toronto, Canada Job Description: We are seeking a highly skilled Backend/API Developer with strong hands-on experience in Azure Databricks and Apache Spark (PySpark/Scala). The ideal candidate will have a solid background in SQL, data transformation techniques, and cloud platforms (Azure/AWS/GCP). You will be responsible for building and optimizing ETL pipelines, ensuring data integrity, and implementing data governance practices. Responsibilities Design and develop ETL pipelines using Azure Databricks and Delta Lake, focusing on batch processing (autoloader) and Spark structured streaming. Create and manage end-to-end environments, including catalogs, schemas, tables, materialized views, functions, and volumes using Unity Catalog. Implement slowly changing dimensions (SCD1 and SCD2) on dimension tables and build change data capture (CDC) pipelines. Utilize Lakehouse federation to create foreign catalogs for accessing data from external sources. Optimize data processing through effective partitioning and liquid clustering in Databricks. Collaborate with cross-functional teams to ensure data governance and security practices are adhered to. Participate in CI/CD pipeline development and DevOps practices to enhance deployment efficiency. Mandatory Skills Expertise in Azure Databricks Expert-level proficiency in SQL Regular experience with CI/CD practices
What you’ll do
Design and develop ETL pipelines using Azure Databricks and Delta Lake, focusing on batch processing and structured streaming. Manage end-to-end environments using Unity Catalog and implement data governance and security practices.
Requirements
Requires expert-level proficiency in SQL and extensive hands-on experience with Azure Databricks and Apache Spark. Candidates must have regular experience with CI/CD practices and data transformation techniques.
Listed skills
- SQLPreferred
- CI/CDPreferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Azure Databricks
- Apache Spark
- PySpark
- Scala
- SQL
- ETL Pipelines
- Delta Lake
- Unity Catalog
- CI/CD
- DevOps
- Data Governance
- Lakehouse Federation
- SCD1
- SCD2
- CDC Pipelines
- Liquid Clustering
Job areas
- Data & Analytics
- Software
- Technology
- Finance & Accounting
- Healthcare
Additional details
- Minimum experience
- 5+ years
- Apply by
- Sep 12, 2026
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Mid-Senior level
- Application method
- Direct apply is available