Job Description:

- Lead and own end to end production support for Informatica and Big Data platforms
- Monitor and manage batch jobs workflows Hive queries Hadoop jobs and UNIX scripts
- Handle L3 support including complex incident resolution escalations and business critical failures
- Drive incident management problem management and service delivery aligned with SLA KPI targets
- Perform detailed and structured Root Cause Analysis RCA and implement preventive solutions
- Ensure stability and performance of ETL pipelines and Big Data workloads
- Lead major incident handling bridge calls and stakeholder communication during outages
- Coordinate with application infrastructure database and business teams for issue resolution
- Oversee release management deployment validation and production readiness activities
- Drive performance tuning across Informatica workflows Hive queries and Hadoop jobs
- Implement automation monitoring improvements and process optimizations
- Ensure compliance with ITIL processes audit requirements and governance standards
- Maintain and review support documentation SOPs and knowledge repositories
- Mentor junior team members and provide technical guidance

Key Responsibilities:

- Required Technical Skills
- Strong hands on experience in Informatica PowerCenter or similar ETL tools
- Robust experience in Big Data technologies Hive Hadoop ecosystem
- Deep expertise in UNIX Linux and shell scripting
- Extensive experience in production support data platform support environments
- Expertise in troubleshooting ETL failures data pipeline issues Hive Hadoop job failures
- Strong knowledge of batch processing job scheduling and dependency management
- Strong SQL HiveQL skills for data analysis and issue resolution
- Experience with incident management tools ServiceNow Remedy JIRA etc




- Strong understanding of SLA management escalation handling and support reporting
- Experience in performance tuning and optimization in Big Data environments
- Strong analytical debugging and problem solving capabilities
- Preferred Skills
- Experience in enterprise scale data warehousing environments
- Familiarity with scheduling tools like Control M Autosys or similar
- Exposure to cloud based data platforms
- Experience in support automation and monitoring dashboards
- Knowledge of data governance and compliance practices
- Proven experience in team mentoring and support management

Technical Requirements:

- Experience in enterprise scale data warehousing environments
- Familiarity with scheduling tools like Control M Autosys or similar
- Exposure to cloud based data platforms
- Experience in support automation and monitoring dashboards
- Knowledge of data governance and compliance practices
- Proven experience in team mentoring and support management

Additional Responsibilities:

- Desired Candidate Profile
- 9 15 years of relevant IT experience
- Solid experience in Informatica Big Data Hive Hadoop UNIX production support
- Proven expertise in handling critical incidents escalations and L3 support environments
- Robust troubleshooting skills across ETL Big Data and UNIX layers
- Experience working in 24 7 support environments if required
- Excellent stakeholder management and communication skills
- Ability to lead support teams and handle high pressure situations
- Educational Qualification
- Bachelor s degree in Computer Science Information Technology 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 (India)
🏢 Infosys
📍 India