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.
