Publié il y a 7 jours
DataStage Developer
@ Cognizant
Canada
Résumé des exigences :
- Design, build, and modify parallel jobs, sequence jobs, and custom routines in IBM InfoSphere DataStage (Designer client). -- Must have
- Translate business requirements and source-to-target mapping documents (STDs) into scalable technical solutions.
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-03
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Cognizant
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 1 |
Job title- Datastage Developer
Description
- ETL Design & Development
- Design, build, and modify parallel jobs, sequence jobs, and custom routines in IBM InfoSphere DataStage (Designer client). -- Must have
- Implement complex business logic using transformer stages, lookups, joins, aggregations, and sorting mechanisms.
- Translate business requirements and source-to-target mapping documents (STDs) into scalable technical solutions.
- Database & SQL Optimization
- Write, tune, and optimize advanced SQL and PL/SQL queries for relational databases like Oracle, DB2, or SQL Server.
- Perform data profiling, analyze source data nuances, and prevent data redundancy across data warehouses (EDW, ODS, and Data Marts).
- Scripting & Automation
- Develop and maintain UNIX/Linux shell scripts to automate file handling, job triggers, and operational pipelines.
- Schedule, execute, and monitor jobs using DataStageDirector or enterprise schedulers.
- Troubleshooting & Production Support
- Provide ongoing support for daily, weekly, and monthly data processing cycles.
- Monitor job execution logs, perform root-cause analysis on failed loads, and implement preventive performance fixes.
- Debug and tune slow-running jobs using partitioning strategies, stage optimizations, and performance monitors.
- Testing & Documentation
- Create and execute comprehensive unit, integration, and regression test plans.
- Participate in code reviews and support User Acceptance Testing (UAT).
- Maintain technical documentation, data lineage, and operational runbooks.
- Collaboration & Upgrades
Work closely with data architects, business analysts, QA teams, and infrastructure engineers across the Software Development Life Cycle (SDLC).
Journal
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