# data integration lead united states6 hours ago id price on request## details employment type: full-time remote: yes company: valce talent solutions## description data integration lead 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 data stage, oracle, unix, control-m scheduling, and analytical problem solving. Snowflake experience is a plus. Required technical skills - ibm info sphere data stage (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 data stage 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 data stage environment following sdlc and release processes. - design, develop, and optimize data stage jobs and parallel jobs for batch and real-time data integration scenarios. - perform performance tuning of data stage 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.
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📌 Data integration lead (México)
🏢 Bazeta
📍 México