Found Description
As a PySpark Data Engineer, you will:
- Design, develop, and maintain scalable data pipelines using PySpark on Databricks
- Build and optimize data processing workflows using Python
- Implement workflow orchestration and scheduling (preferably using Airflow, if applicable)
- Work in an Agile delivery environment with cross-functional teams
- Ensure data quality, performance, and reliability of data solutions
- Support integration of data from multiple sources into analytics-ready structures