Data Engineer Databricks

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• 8+ years of experience in data engineering, warehousing, or BI. \n

• 5+ years building production platforms on Databricks or Spark. \n

• Strong hands-on experience with PySpark and Spark SQL. \n

• Experience owning the design of an enterprise data platform. \n

• Advanced knowledge of Delta Lake and Databricks workflows. \n

• Experience with dimensional modeling and star schema design. \n

• Strong SQL skills, including complex stored procedure analysis., * Hands-on experience with Unity Catalog and data governance.

This is an exciting opportunity to take ownership of a growing Databricks lakehouse platform and help shape its long-term architecture. You’ll work closely with data, BI, and enterprise architecture teams to build scalable pipelines, modernize legacy workloads, and deliver trusted data for reporting and AI use cases. If you enjoy hands-on engineering with real ownership, this role offers a chance to make a meaningful impact.