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
Strong 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
Strong experience in Informatica Big Data Hive Hadoop UNIX production support
Proven expertise in handling critical incidents escalations and L3 support environments
Strong 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