Responsibilities
- Create and manage data workflows using Azure Databricks
- Develop and refine data processing logic with PySpark and SQL in Databricks
- Build and sustain Lakehouse environments leveraging Delta Lake
- Construct ETL and ELT processes coordinated by Azure Data Factory
- Consolidate data from diverse sources into centralized data systems
- Establish and update data models and warehouse schemas for analytical use
- Guarantee accuracy, efficiency, and growth capacity in data pipeline performance
- Work with BI specialists to enable Power BI and reporting tools
- Maintain and enhance legacy SQL Server platforms and SSIS-based ETL processes as needed
- Support the creation of up-to-date cloud-native data architecture designs
Compensation
Not specified
Work Arrangement
Not specified
Team
Not specified
Not specified
