- Build and maintain scalable ETL/ELT pipelines using Databricks.
- Leverage PySpark/Spark and SQL to transform and process large datasets.
- Integrate data from multiple sources including Azure Blob Storage, ADLS and other relational/non-relational systems.
- Collaboration & Analysis:
- Work Closely with multiple teams to prepare data for dashboard and BI Tools.
- Collaborate with cross-functional teams to understand business requirements and deliver tailored data solutions.
Job Type: Full-time
Pay: $117,379.67 - $141,360.47 per year
Schedule:
Work Location: On the road
