- Design, build, and maintain scalable ETL/ELT data pipelines.
- Develop data processing workflows using Python and PySpark.
- Work with Databricks and Snowflake for data storage, transformation, and analytics.
- Integrate data from multiple sources while ensuring data quality and integrity.
- Optimize SQL queries and improve data pipeline performance.
- Collaborate with Data Analysts, Data Scientists, and Software Engineers to deliver data solutions.
- Monitor, troubleshoot, and maintain data workflows.
- Document data models, pipelines, and technical processes.