8 10+ years of hands-on experience with IBM DataStage (Development & Administration)
Strong expertise in Unix/Linux, Shell Scripting, and Cron Jobs
Hands-on experience with Python programming and automation development
Extensive experience with Control-M administration, job scheduling, and monitoring
Solid knowledge of relational databases such as Oracle and MS SQL Server
Strong understanding of ETL architecture, data integration, and workflow orchestration
Experience in production support, incident management, root cause analysis (RCA), and problem management
Experience leading support teams and managing stakeholder communications
Excellent troubleshooting, analytical, and problem-solving skills
Strong verbal and written communication skills
Lead and mentor a team of DataStage support engineers
Own the end-to-end DataStage ETL platform, including development, administration, deployment, and support
Design, develop, enhance, and maintain DataStage ETL jobs and workflows
Administer DataStage environments, including user roles, security, deployments, upgrades, and migrations
Troubleshoot and resolve ETL job failures across DataStage and Unix/Linux environments
Drive incident management, problem management, RCA, and continuous improvement initiatives
Develop and maintain shell scripts and Python-based automation solutions
Manage Control-M scheduling, monitoring, agent upgrades, workload automation, and failure handling
Configure SAP/Unix jobs, calendars, workload policies, and dependencies
Support Gentran integrations, including maps, mailboxes, FTP scripts, Java programs, and SQL procedures
Collaborate with business users, development teams, infrastructure teams, and vendors for issue resolution
Define and enforce best practices for ETL development, deployment, release management, and operational support
Monitor platform performance and implement proactive measures to improve reliability and efficiency
Ensure adherence to enterprise security, compliance, and operational standards