Data Stage Developer and Support

Location: Hyderabad, India

Experience: 3+ Years

Job Type: Full-Time / Permanent / Contract (choose one)

Work Mode: On-site / Hybrid / Remote (specify as needed)

We are seeking a DataStage Developer with Production Support experience to join our data engineering team in Hyderabad. The ideal candidate will have strong experience in IBM InfoSphere DataStage, excellent troubleshooting abilities, and a solid understanding of data warehousing concepts and production environment support.

• Design, develop, and enhance ETL solutions using IBM DataStage.
• Provide Level 2/3 production support for DataStage jobs and related data processes.
• Monitor ETL workflows, troubleshoot failures, and ensure timely data delivery.
• Perform root cause analysis and implement permanent fixes for recurring issues.
• Work closely with data analysts, architects, and other support teams to resolve incidents.
• Manage batch job scheduling using tools like Control-M, Autosys, or similar.
• Participate in incident management, problem management, and change control processes.
• Create and maintain technical and support documentation.
• Implement performance tuning and optimization for ETL jobs.

• 3+ years of hands-on experience with IBM InfoSphere DataStage (v11.x or higher).
• Strong understanding of ETL concepts, data pipelines, and data warehousing.
• Experience in production support, including monitoring, troubleshooting, and on-call rotations.
• Solid knowledge of SQL and working with databases like DB2, Oracle, or Teradata.
• Familiarity with Unix/Linux shell scripting for automation and troubleshooting.
• Experience with job scheduling tools (Control-M, Autosys, or similar).
• Understanding of ITIL processes and ticketing tools like ServiceNow, Remedy, or Jira.
• Good communication and problem-solving skills.

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• Knowledge of data modeling and data integration best practices.
• Exposure to cloud data platforms like AWS Glue, Azure Data Factory, or GCP Dataflow is a plus.

ITIL Certification (optional but preferred).