:

- 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

Key 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 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

Technical Requirements:

- Required Technical Skills
- Strong hands on experience in Informatica PowerCenter or similar
- Good experience with Big Data technologies Hive Hadoop
- Strong working knowledge of UNIX Linux and shell scripting
- Experience in production support ETL support batch support
- Strong understanding of workflow job monitoring and troubleshooting
- Good SQL HiveQL skills for data validation and issue analysis




- Experience in resolving data pipeline failures and batch abends
- Familiarity with job scheduling tools Control M Autosys etc
- - Experience with incident management tools ServiceNow Remedy JIRA etc
- - Understanding of SLA RCA and escalation processes
- Robust analytical and debugging skills
- Preferred Skills
- Experience in L2 L3 support environments
- Knowledge of data warehousing and ETL concepts
- Exposure to performance tuning in Hive Hadoop environments
- Familiarity with enterprise production support models
- Ability to work with cross functional teams in high pressure environments

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
- 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

Preferred Skills:

Technology->Big Data - Hadoop->Hadoop->Hive,Technology->Data Management - Data Integration->Informatica->Informatica - Informatica Power Center,Technology->Open System->UNIX

📌 Informatica + Big Data + Hive + Hadoop + UNIX Production Support (Secunderabad)
🏢 Infosys
📍 Secunderabad