Informatica Administration

Install, configure, and administer Informatica PowerCenter / Informatica Services

Manage Repository, Integration Services, and Domain configurations

Monitor and maintain ETL workflows, sessions, and batches

Perform migrations (Dev → QA → Prod) and deployments

Handle performance tuning and optimization of Informatica jobs

Troubleshoot failures, identify root causes, and implement fixes

Manage logs, sessions, and workflow recovery

UNIX / Linux Support

Work with Unix/Linux environments for ETL job execution

Develop and maintain shell scripts (Bash/Korn) for automation

Monitor system performance, disk usage, and file management

Schedule and manage jobs using tools like Cron / AutoSys / Control-M

Perform file transfers, backups, and process monitoring

Production Support

Provide L2/L3 production support for ETL processes

Handle incident management, alerts, and SLA compliance

Perform root cause analysis (RCA) and preventive actions

Ensure high availability and reliability of data pipelines

Collaboration & Documentation

Work with developers, DBAs, and business teams

Maintain technical documentation and runbooks

Follow change management and release processes

Required Skills & Qualifications

Core Skills

2–5 years of hands-on experience in Informatica Administration

Strong experience in Unix/Linux (mandatory)

Good understanding of ETL workflows and data integration concepts

Experience handling production support environments

• Primary skills:Technology->Data Management - Data Integration->Informatica,Technology->Open System->UNIX

Knowledge of Informatica PowerCenter components (Repository, Integration Service, Designer, Workflow Manager)

Strong shell scripting (Bash/Korn) skills

Good knowledge of SQL and databases (Oracle, SQL Server, etc.)

Experience with job scheduling tools (AutoSys/Control-M)

Understanding of performance tuning and troubleshooting techniques

Preferred Skills

Experience with Informatica upgrades and patching

Exposure to Informatica Cloud (IICS)

Familiarity with DevOps tools and CI/CD pipelines

Knowledge of data warehousing concepts

Basic Python scripting knowledge