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 Skills: Performance Tuning, Hive, Servicenow, Informatica Powercenter, Hiveql, Big Data Technologies, Sql, dependency management, Shell Scripting, Linux, Jira, Remedy, Unix, Hadoop Experience: 9.00-15.00 Years