Educational Requirements Bachelor of Engineering,MBA,MTech,MCA,Intergrated course BCA+MCA Service Line Data Analytics Unit Responsibilities
- 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 setting
- 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

Additional Responsibilities:
- 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 59 years of relevant IT experienceStrong experience in production support for Informatica + Big Data environmentsProven experience in handling incidents, batch failures, and data issuesStrong troubleshooting skills across ETL, Hive/Hadoop, and UNIX layersGood SQL/HiveQL knowledgeExperience working in SLA-driven support environmentsGood communication and coordination skillsEducational QualificationBachelors degree in Computer Scie

📌 Informatica + Big Data + Hive + Hadoop + UNIX Production Professional (Hyderabad)
🏢 Infosys
📍 Hyderabad