Informatica + Big Data + Hive + Hadoop + UNIX Production Support
Infosys
We are looking for experienced professionals with hands-on expertise in Informatica, Big Data technologies, Hive, Hadoop, and UNIX, with a strong focus on production support and operations. The ideal candidate should have experience in managing data pipelines, ETL workflows, and batch processing systems, ensuring smooth production operations, timely issue resolution, and minimal business impact.
Provide production support for data integration and Big Data platforms Monitor ETL workflows, batch jobs, Hive queries, Hadoop jobs, and UNIX scripts Analyze and resolve job failures, data issues, and performance bottlenecks Handle incident management, service requests, and escalation handling within SLA Perform root cause analysis (RCA) and implement fixes for recurring issues Troubleshoot issues across Informatica workflows, Hive/Hadoop jobs, and UNIX environment Validate and reconcile data to ensure accuracy of production loads Support job scheduling, batch execution, and release/deployment validation Work closely with application, DB, infra, and business teams for issue resolution Perform basic performance tuning of ETL workflows and Big Data processes Maintain SOPs, runbooks, support documentation, and knowledge base Participate in on-call/shift support as required Ensure adherence to ITIL processes, SLA, and operational guidelines
Role Expectations
Ensure smooth execution of daily production jobs and data pipelines Quickly identify and resolve critical production issues Maintain high system availability and reliability Communicate effectively with stakeholders during incidents Support deployment cycles and post-release monitoring Contribute to continuous improvement through RCA and process enhancements
Desired Candidate Profile
5–9 years of relevant IT experience Strong experience in production support for Informatica + Big Data environments Proven experience in handling incidents, batch failures, and data issues Strong troubleshooting skills across ETL, Hive/Hadoop, and UNIX layers Good SQL/HiveQL knowledge Experience working in SLA-driven support environments Good communication and coordination skills
Educational Qualification
Bachelor’s degree in Computer Science, IT, Engineering, or related discipline
Work Location Hyderabad (HYD)
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