Responsibilities
Design, develop, automate, and optimize data pipelines and ETL/ELT processes, including unified cloud data platforms and enterprise data lakehouse solutions. Migrate and integrate large volumes of data across Oracle, Azure Data Lake, Databricks, and Microsoft Fabric while supporting performance monitoring and tuning.
Requirements
Requires at least 8 years of experience with Databricks, Delta Live Tables or equivalent, Unity Catalog or equivalent, relational databases, advanced SQL, and PySpark. Candidates must also have experience building Azure Data Factory and Databricks pipelines with CI/CD, and migrating or integrating data across platforms.