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Senior Business Intelligence Developer to build data platforms using Azure Data Factory and Microsoft Fabric and build reports using Power BI and Informati

Toronto, ON
  • Number of positions available : 1

  • To be discussed
  • Contract job

  • Published since 9 day(s)
  • Starting date : 1 position to fill as soon as possible

Our public sector client is seeking a Senior Business Intelligence Developer to build data platforms using Azure Data Factory and Microsoft Fabric and build reports using Power BI and Informatica


Candidates can be 100% remote in Canada working MST hours. 37.5 hour work week


Must have:

  • 5+ years of experience a Business Intelligence Developer focusing on Azure Data Factory and Microsoft Fabric
  • 5+ years’ experience of business intelligence and analytics solutions using SAP Informatica and 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.
  • Experience using PowerCenter Informatica to create or modify extract, transform, and load (ETL) scripts
  • Experience mentoring other business intelligence and analytics developers.
  • AZ-104 Certification (willing to train, hut will need to complete before starting)


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 DevOps (Azure DevOps, Git)
  • Up to date Azure AZ-104 and Microsoft DP-600 & 700 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 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.
  • Build reports and dashboards with approved technologies.
  • Prepare technical documentation for maintenance.
  • Train internal support staff.
Disclaimer:
AI may be used in evaluating candidates.
This posting is for an existing vacancy.
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