Informatica Big Data Production Support Engineer

Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support) • Primary skills:Process->Informatica, Bigdata, Production support,Unix,Hadoop,Hive Key Responsibilities Production Support & Incident Management Provide L2/L3 support for Big Data and ETL applications Monitor batch jobs, workflows, and data pipelines (24/7 support model if required) Troubleshoot Informatica workflows, Hadoop/Hive jobs, and UNIX scripts Perform root cause analysis (RCA) and ensure timely resolution of incidents Track and resolve SLA breaches, P1/P2 incidents ETL & Data Pipeline Support Support and maintain Informatica PowerCenter / IICS workflows Debug ETL failures, data mismatches, and performance issues Perform data validation and reconciliation across systems Handle data ingestion and transformation pipelines Big Data / Hadoop Ecosystem Troubleshoot issues in: Hadoop (HDFS, YARN) Hive queries and performance tuning Spark jobs (basic to intermediate exposure preferred) Analyze logs, optimize queries, and ensure smooth data processing Unix & Scripting Develop and support Shell scripts for automation Analyze logs, manage file movements, job scheduling, and cron jobs Automate repetitive support activities Monitoring & Tools Work with scheduling tools: Autosys / Control-M / Airflow Use monitoring and ticketing tools: ServiceNow / Jira Proactively monitor systems and prevent failures Performance & Optimization Identify bottlenecks in ETL and Big Data workloads Optimize Hive queries, partitioning, and indexing strategies Improve job execution time and system stability Stakeholder Coordination Collaborate with: Development teams Business stakeholders Infrastructure teams Communicate status updates and incident reports clearly Required Skills Core Technical Skills Informatica PowerCenter / IICS (strong exposure) Hadoop ecosystem (HDFS, YARN, MapReduce basics) Hive (advanced querying & tuning) UNIX/Linux + Shell scripting SQL (advanced) Production Support Skills Incident & problem management RCA and debugging expertise Batch monitoring and job scheduling SLA-driven environment experience