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

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

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

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)