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Data Engineer Data Warehousing

Senior Business Intelligence Developer to build data platforms using ETL scripts; Informatica​/Business Objects

Job in Saskatoon, Saskatchewan, S7W, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-06-04
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Job Description & How to Apply Below
Position: Senior Business Intelligence Developer to build data platforms using ETL scripts (Informatica/Business Objects) and

Our public sector client is seeking a Senior Business Intelligence Developer to build data platforms using ETL scripts (Informatica/Business Objects) and Azure Data Factory (Microsoft Fabric) applying data modelling principles

Candidates can be % remote in Canada working MST hours. 37.5 hour work week

Must have:

  • 5+ years of experience a Business Intelligence Developer focusing on ETL Scripts (Informatica/Business Objects) and Azure Data Factory and Microsoft Fabric
  • 5+ years’ experience of business intelligence and analytics solutions using Power BI
  • 5+ years of experience applying data modelling principles (
    Kimball Dimensional Modelling
    ), including working with database technologies and scripting, such as Oracle or SQL Server.
  • AZ
    - Certification     (willing to train, hut will need to complete before starting)
  • Experience mentoring other business intelligence and analytics developers.

    • Nice to haves:

  • Knowledge of cloud data architecture (lakehouse, modern data warehouse)
  • Experience with Azure security: managed identities, RBAC, data controls
  • Familiarity with CI/CD and Dev Ops (Azure Dev Ops, Git)
  • Up to date Microsoft DP- & certification
  • Data virtualization using Denodo and Business Objects
  • Strong verbal and written communication skills for diverse audiences

    • Responsibilities:

  • Coordinate with SMEs to define reporting requirements.
  • Work with our client's IT Governance team to validate solution architectural proposals.
  • Review and update data marts as needed.
  • Develop ETL scripts for new tables.
  • Develop pipelines within Azure Data Factory.
  • Prepare technical documentation for maintenance.
  • Train internal support staff.
    • Position Requirements
    10+ Years work experience
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