Microsoft Azure Data Engineer, Analytics

4 weeks ago

Toronto, Ontario, Canada High Cliff Partners Inc. Full time

Job Title: Microsoft Azure Data Engineer, Analytics

Job Summary:

We are seeking a highly skilled Microsoft Azure Data Engineer, Analytics to join our team at High Cliff Partners Inc. in Toronto/Montreal. As a key member of our organization, you will be responsible for designing and implementing reporting and analytic solutions using Microsoft Azure technologies.

Key Responsibilities:

  • Design and develop scalable BI architecture that supports efficient creation of BI solutions.
  • Direct interaction with business SMEs and technical groups to design and implement sustainable analytic solutions.
  • Contribute to work effort estimates when building new or enhanced BI solutions on the Azure platform.
  • Ensure designs are scalable, on strategy, and deliver the expected business outcome.
  • Development of complex solution components with exceptional performance capable of processing large volumes of data.
  • Design and develop scalable, reusable data models using Azure development in line with architectural standards and best practices.
  • Ownership, Administration & Governance of the MS Fabric platform.
  • Define test plans and conduct performance tuning and data profiling.
  • Ownership of incident resolution and day to day sustainment of MS Fabric BI solutions.
  • Utilize Microsoft Analytics tools for seamless integration and efficient user interface development to enhance overall user experience.
  • Troubleshoot and optimize SQL queries to ensure top performance of analytic processes.
  • Coach and mentor Business Analytics and Functional teams on MS Fabric technologies and processes.
  • Works independently ensuring alignment to our BI Strategy.
  • Capable of directing a team.
  • Oversee project activities (design, develop, test deploy).
  • Support activities (troubleshoot, enhance, capacity plan, upgrade, migration).
  • Ability to multi-task and manage multiple projects/initiatives simultaneously.
  • Ability to successfully communicate and collaborate with colleagues and functional SME's.

Requirements:

  • Proficient Data Engineer with experience in Azure Data factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Data bricks.
  • Azure development with ADF pipelines.
  • Azure development with notebooks (Python/Spark).
  • Data modelling, Dimensional modelling - Kimball methodology (star schema).
  • Strong SQL skills.
  • Basic Power BI skills (including DAX).
  • Understanding of MS Fabric tools.
  • Must be legally authorized to work in Canada.

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