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.

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
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

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)