Data Integration Lead
Tasks
- Design and maintain Control M job schedules and dependencies
- Design, develop, and optimize DataStage jobs
- Implement enhancement requests and change requests
- Monitor troubleshoot and maintain production ETL pipelines
- Optimize parallel jobs for batch and real time integration
- Perform root cause analysis and fixes
- Resolve production incidents and bugs end to end
- Respond to alerts and follow incident management
- Run regression testing and deploy to production
- Troubleshoot UNIX Linux process issues
- Troubleshoot scheduling failures
- Tune Oracle SQL queries and indexes
- Tune performance of DataStage jobs
Perks/Benefits
Skills/Tech-stack
CI/CD | Control-M | DataStage | Deployment | ETL | IBM InfoSphere | IBM Infosphere DataStage | Incident Management | Indexing | InfoSphere-DataStage | Job Scheduling | Linux | Oracle SQL | PL/SQL | Parallel jobs | Partitioning | Query Optimization | Release Management | SDLC | SQL Tuning | Shell Scripting | Unix | Version control
Education
N/A
Roles
Data Integration Lead | DataStage Developer | Developer | Integration Lead | Lead
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