Data Integration Lead

Turtle Trax S.A.; Región Centro; Remote; MXN 450,000 - 750,000; Full time

Job summary

Turtle Trax S.A. seeks an Experienced DataStage Developer for a remote role focused on production support and enhancements, resolving defects, implementing fixes, and coordinating with clients to ensure smooth data operations.

Candidates should be strong in IBM DataStage, Oracle SQL/PLSQL, UNIX/Linux, and Control-M scheduling, with experience diagnosing issues under SLA; Snowflake is a plus. Good communication skills are required.

Qualifications

• Datastage developer with production support and enhancements.
• Strong IBM DataStage, Oracle, UNIX, and Control-M scheduling.
• Analytical problem solving and client interfacing skills.
• Snowflake experience is a plus.

Responsibilities

• Own and resolve DataStage production incidents end-to-end, including RCA and deployment.
• Implement and test CRs and enhancements in DataStage per SDLC.
• Design, develop, and optimize DataStage jobs for batch and real-time integration.
• Performance tune DataStage, Oracle SQL, and UNIX processes to meet SLAs.
• Monitor, troubleshoot, and maintain production ETL pipelines and respond to alerts.
• Collaborate with schedulers to design, monitor and maintain job schedules and dependencies.

Skills

DataStage

Oracle SQL/PLSQL

UNIX/Linux

Control-M

ETL Troubleshooting

Analytical Thinking

Version Control / CI CD

Client Communication

Tools

Snowflake

Job description

Remote

Advanced english

Only México

Summary Experienced Datastage Developer (Production Support & Enhancements) — responsible for resolving production defects, delivering enhancements, and interfacing with clients. Must be strong in IBM DataStage, Oracle, UNIX, Control-M scheduling, and analytical problem solving. Snowflake experience is a plus.

Required technical skills

• IBM InfoSphere DataStage (developer & admin familiarity) — job design, parallel jobs, parameterization, shared containers, etc.
• Strong Oracle SQL and PL/SQL skills — query tuning, indexes, partitioning awareness.
• Solid UNIX/Linux skills — shell scripting, job logs, file handling and basic process troubleshooting.
• Production scheduling with Control M (or similar) — job definitions, dependencies, calendars, alerts.
• Proven experience diagnosing and resolving production ETL issues under SLA pressure.
• Strong analytical and problem-solving skills; able to trace data flow and isolate defects across systems.
• Experience with version control, CICD/release processes and deployment across environments.
• Good written and verbal communication; comfortable in client-facing situations.

Key responsibilities

• Own and resolve DataStage production incidents and bugs end-to-end, including root-cause analysis, fixes, regression testing, and deployment to production.
• Implement and test enhancement requests and change requests (CRs) in the DataStage environment following SDLC and release processes.
• Design, develop, and optimize DataStage jobs and parallel jobs for batch and real-time data integration scenarios.
• Perform performance tuning of DataStage jobs, database SQL (Oracle), and UNIX processes to meet SLAs.
• Monitor, troubleshoot, and maintain production ETL pipelines; respond to alerts and follow incident management procedures.
• Work with Control M (or equivalent schedulers) to design, monitor and maintain job schedules and dependencies; troubleshoot scheduling failures.