Responsibilities
- Create and manage scalable data pipelines using Azure Databricks
- Develop and refine data transformations with PySpark and SQL within the Databricks environment
- Build and sustain Lakehouse frameworks leveraging Delta Lake technology
- Construct and coordinate ETL and ELT workflows using Azure Data Factory
- Consolidate data from diverse sources into unified data platforms and analytical layers
- Design and manage data models and warehouse schemas to support analytics
- Ensure high data quality, system scalability, and efficient performance across large data workflows
- Work closely with business intelligence teams to enable Power BI and reporting tools
- Maintain and enhance legacy SQL Server platforms and SSIS-based ETL processes as needed
- Support the development of modern, cloud-native data architecture strategies