Azure Data Engineer – Databricks

Tasks

• Design, develop, and maintain scalable ETL/ELT pipelines using Databricks.
• Process and transform large datasets using PySpark, Spark, and SQL.
• Optimize data pipelines for performance, scalability, and cost efficiency.
• Implement data governance and access controls using Unity Catalog.
• Deploy Databricks jobs, notebooks, and configurations using Databricks Asset Bundles.
• Collaborate with business and technical teams to deliver reliable data solutions.

Requirements

• Azure Cloud amp; Azure Data Engineering
• Databricks – Delta Lake, Unity Catalog amp; Lakehouse Architecture
• Python, PySpark, Apache Spark amp; SQL
• ETL/ELT Pipeline Development
• Azure Data Lake Storage (ADLS) amp; Azure Blob Storage
• Delta Live Tables / Lakeflow Declarative Pipelines
• Databricks Runtime amp; Table Triggers
• Databricks Asset Bundles (DABs)
• GitLab amp; Version Control
• Data Warehouse, Data Governance amp; Security
• Spark Streaming / Real-Time Data Processing (Preferred)
• Azure Data Engineer Associate or Databricks Certified Data Engineer Associate.

Schedule

• Contract
• Ottawa, ON: Onsite
• Toronto, ON: Remote

How to apply

• Share your updated resume and email ID.

Location

• Ottawa, ON
• Toronto, ON