Posted 7 days ago
DataStage Developer
@ Cognizant
Canada
Overview
Cognizant is hiring a full-time DataStage Developer to design, build and support ETL pipelines in IBM InfoSphere DataStage. The role covers parallel and sequence jobs, SQL and PL/SQL tuning across relational databases, UNIX/Linux scripting, production support and testing.
Responsibilities:
- Design and build DataStage parallel and sequence jobs
- Write and tune SQL and PL/SQL queries
- Automate data pipelines with UNIX/Linux scripts
- Monitor jobs and fix failed or slow loads
- Test, document and support user acceptance testing
Requirements summary:
- Hands-on experience with IBM InfoSphere DataStage
- Advanced SQL and PL/SQL on Oracle, DB2 or SQL Server
- UNIX/Linux shell scripting experience
- Data warehouse and ETL design knowledge
- Experience with SDLC and collaboration across teams
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-03
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Cognizant
| Field | Value |
|---|---|
| Open jobs on 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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