Responsibilities

• Design, develop, and maintain scalable data pipelines using Python, PySpark, and AWS Glue, EMR, Step function.

• Build and optimize distributed data processing workflows using EMR and cluster programming techniques.

• Develop Airflow DAGs to orchestrate complex ETL pipelines.

• Work extensively with AWS services to build end-to-end data engineering solutions.

• Ensure reliability, performance, and scalability of all data workflows.

• Troubleshoot production issues quickly and implement corrective actions.

• Collaborate with cross-functional teams to deliver high-quality data products.

• Independently drive deliverables with minimal supervision.