Informatica-Bigdata-Hive-Hadoop-UNIX(Production Support)
Infosys
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
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