• Design, build, and maintain scalable data pipelines using AWS (EMR, Glue), PySpark, Python, and Airflow.
• Perform L2 Production Support: analyze incidents, troubleshoot issues, and ensure timely resolution within SLA.
• Proactively communicate updates to customers and stakeholders during incident handling.
• Collaborate with L1.5 and L3 teams to escalate and resolve complex issues.
  Monitor, optimize, and improve data workflows for reliability and performance.

Requirements:

• 5+ years of experience in Data Engineering / Production Support.
• Strong skills in PySpark, Python, Airflow, AWS EMR, and AWS Glue.
• Hands-on experience in incident management and stakeholder communication.
• Ability to work in 24x7 support environments (as needed).Role & responsibilities