We are looking for an experienced Data Integration Lead with strong IBM InfoSphere DataStage expertise to support production ETL processes, resolve incidents, and deliver enhancements.
This role requires hands-on experience with DataStage, Oracle SQL and PL/SQL, UNIX/Linux, and Control-M. The selected candidate will own production incidents and enhancement requests from root-cause analysis through testing and deployment.
Key Responsibilities
- Own and resolve DataStage production incidents and defects end-to-end.
- Conduct root-cause analysis and implement permanent solutions.
- Develop, test, and deploy fixes following established SDLC and release processes.
- Implement enhancement requests and change requests within the DataStage environment.
- Design, develop, and optimize DataStage jobs and parallel jobs.
- Configure job parameters, shared containers, sequences,
and reusable components.
- Develop batch and real-time data integration solutions.
- Monitor and troubleshoot production ETL pipelines.
- Respond to alerts and incidents according to established SLAs.
- Optimize DataStage jobs, Oracle SQL, PL/SQL, and UNIX processes.
- Use Control-M or a comparable scheduler to manage job definitions, dependencies, calendars, and alerts.
- Troubleshoot scheduling and dependency failures.
- Perform regression testing and support production deployments.
- Manage releases and deployments across multiple environments.
- Communicate with clients and technical stakeholders.
- Document incidents, solutions, deployments, and operational procedures.
Required Qualifications
- Strong hands-on experience with IBM InfoSphere DataStage.
- Experience designing and supporting DataStage parallel jobs.
- Familiarity with DataStage development and administration.
- Strong Oracle SQL and PL
📌 Data Integration Lead – IBM DataStage- REMOTE (México)
🏢 U-Hi
📍 México
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