Informatica + Big Data + Hive + Hadoop + UNIX Production Support

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

Required Technical Skills:

Strong hands-on experience in Informatica (Power Center 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 (Service Now, Remedy, JIRA, etc.)
Understanding of SLA, RCA, and escalation processes
Strong 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

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)

Education: MBA,MCA,MTech,Intergrated course BCA+MCA,Bachelor of Engineering

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