Lead Databricks migrations with Python, PySpark, and SQL from a hybrid Toronto engagement. Modernize production pipelines for two-week Agile delivery. This senior data engineering contract spans two months and focuses on migrating existing ETL/ELT workloads into Databricks. You will refactor processing logic, build scalable pipelines, and maintain ingestion, transformation, and metric calculations. The work includes Airflow orchestration, source-to-target mappings, testing, reconciliation, and production transition activities. Key Responsibilities:

Migrate and refactor ETL/ELT pipelines into Databricks Develop production pipelines using Python, PySpark,



and SQL Modernize scheduled jobs and Airflow DAG-based processing Implement reusable patterns for additional workload migrations Support deployment readiness and production-transition activities Requirements:

Seven or more years in data or software engineering Strong hands-on Databricks production experience Advanced Python, PySpark, Apache Spark, and SQL skills Experience migrating legacy pipelines to contemporary cloud platforms Greater Toronto Area residence and downtown onsite availability Apply senior Databricks engineering expertise to modernize pipelines through Python, PySpark, SQL, orchestration, and migration delivery.

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📌 Senior Databricks Migration Engineer (Winnipeg)
🏢 Raise - find a more meaningful working experience
📍 Winnipeg