Job Description

We're seeking a hands on Data Engineer to help plan and execute the migration of analytics and ETL/ELT workloads from their current solution to an Azure + Databricks lakehouse stack. You'll help design ingestion and transformation pipelines, optimize Spark jobs, and ensure governance and compliance suitable for a pharmaceutical environment

Key Responsibilities

  • Analyze current pipelines and re‑platform to Databricks (PySpark/SQL) following bronze, silver, gold patterns.
  • Rebuild schedules/orchestrations (e.g., Databricks Workflows, ADF/Synapse/Fabric) and replace current instance specific operators with native Spark/Delta patterns.
  • Map data models/virtualized objects to Delta Lake tables with partitioning, Z Ordering, and optimized file layouts.
  • Develop scalable ETL/ELT in PySpark and SQL
  • Implement unit/integration tests and data quality checks (freshness, completeness, schema)
  • Tune Spark (shuffle partitions, broadcast jo...

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