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

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