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ETL DataStage developer

  • Toronto, ON
  • On-site
  • Posted Oct 13, 2026
  • 1 position

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Employment type
Contract
Experience level
Senior · 5+ years
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Apply on LinkedIn (LinkedIn sign-in required)

Job summary

Design, develop, and support enterprise-scale ETL solutions using IBM InfoSphere DataStage. Build, optimize, and troubleshoot data integration workflows across multiple source and target systems, and support data quality, production operations, performance tuning, and job scheduling.

Job details

- 5–10+ years of hands-on experience in IBM InfoSphere DataStage development, designing and supporting enterprise-scale ETL solutions. - Strong expertise in building, optimizing, and troubleshooting data integration workflows across multiple source and target systems. - Proficient in SQL, data warehousing concepts, dimensional modelling, and working with databases such as Oracle, SQL Server, DB2, or Teradata. - Experience in data quality validation, production support, performance tuning, and ETL job scheduling using Unix/Linux environments.

What you’ll do

Design, develop, and support enterprise-scale ETL solutions using IBM InfoSphere DataStage. Build, optimize, and troubleshoot data integration workflows across multiple source and target systems, and support data quality, production operations, performance tuning, and job scheduling.

Requirements

Requires 5–10+ years of hands-on IBM InfoSphere DataStage development experience and strong expertise in enterprise ETL workflows. Candidates should be proficient in SQL, data warehousing, dimensional modelling, relevant relational databases, data quality validation, production support, performance tuning, and Unix/Linux environments.

Listed skills

  • SQL · Preferred
  • Oracle · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • IBM InfoSphere DataStage
  • ETL Development
  • Data Integration
  • SQL
  • Data Warehousing
  • Dimensional Modelling
  • Oracle
  • SQL Server
  • DB2
  • Teradata
  • Data Quality Validation
  • Production Support
  • Performance Tuning
  • Unix/Linux
  • ETL Job Scheduling

Job areas

  • Technology
  • Data & Analytics
  • Software
  • Consulting

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