Azure Data Engineer

Required Qualifications

•          Azure Databricks expertise — hands-on with Unity Catalog governance, Delta Lake, PySpark, Lakeflow/DLT pipelines, and Databricks Asset Bundles for CI/CD

•          Microsoft Fabric experience — lakehouse architecture, OneLake, Data Pipelines/Dataflows, and familiarity with Fabric networking (managed private endpoints, VNet gateways)

•          Strong SQL and Python — production-grade pipeline development, dbt experience preferred, with dimensional modeling skills (medallion/Bronze-Silver-Gold patterns)

•          Enterprise integration experience — REST API ingestion, ERP/legacy system sourcing (JDE, DB2/IBM i, Oracle P6 or similar), and Azure integration services (Durable Functions, Logic Apps, Service Bus)

•          DevOps and IaC proficiency — Azure DevOps or GitHub-based CI/CD, Bicep or Terraform, service principals/workload identity federation, and environment promotion patterns

•          Power BI and semantic layer knowledge — Direct Lake models, semantic model governance, and downstream BI serving considerations (a plus: Power Platform/Dataverse exposure)