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Data Engineering Professional with Microsoft Fabric platformfreelance.ca • Montreal, Canada
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Data Engineering Professional with Microsoft Fabric platform

Data Engineering Professional with Microsoft Fabric platform

freelance.ca • Montreal, Canada
30+ days ago
Salary
CA$102,075.00 yearly
Job type
  • Full-time
Job description

Our client is hiring a Data Engineering Professional with Microsoft Fabric platform

Location: Saint Laurent, QC or Georgetown, ON (Montreal or Greater Toronto Area for published version.

Workplace Type: Hybrid - Onsite 4 days/week mandatory

Salary: $102,075 to $133,975


  • Salary offers will vary commensurate with experience, education, skills, and training.


Job ID: JR64218

Overview Of The Role

The Data Engineering Professional with Microsoft Fabric platform is responsible for designing, building, and supporting scalable, secure, and high performance analytics solutions on the Microsoft Fabric platform. This role combines strong technical depth with business acumen to translate evolving business needs into trusted data products.

The individual will play a key role in shaping and executing their modern BI and analytics strategy, leveraging Microsoft Fabric capabilities.

Qualifications


  • Bachelor’s degree in Information Systems, Computer Science, Software Engineering, or equivalent experience
  • 6+ years of hands-on experience delivering enterprise analytics and data engineering solutions on Microsoft platforms
  • Strong experience engineering solutions on Microsoft Fabric and modern Azure analytics services, with understanding and working knowledge of other industry-standard analytics and data engineering tools.
  • Microsoft Azure / Fabric certifications (nice to have)
  • Bilingual English/French (nice to have)
  • Strong foundation in:
  • Data ingestion and integration
  • Data transformation and orchestration
  • Data storage, data lakes, and lakehouse architectures
  • Data warehousing and dimensional modeling
  • Experience with CI/CD, DevOps, and source control (Azure DevOps, GitHub)
  • Understanding of administration, security, and governance for Microsoft analytics platforms
  • Experience with enterprise delivery methodologies (Agile/ Waterfall) and estimation practices
  • Robust understanding of Optimization techniques to improve ingestion process
  • Experience in developing re-usable template for ingestion process
  • Experience in building real time solutions end to end
  • Experience in ingesting data from SaaS, on-prem, PaaS, SharePoint and different file formats
  • Understanding of advanced AI technologies like ML, Agentic AI - Nice to have
  • Strong written and verbal communication skills, especially for technical design documentation
  • Ability to operate effectively across complex, interdependent workstreams, teams, and geographies
  • Up-to-date knowledge of industry trends and best practices in data engineering and analytics

Technical Requirements


  • Strong hands-on experience as a Data Engineer on Microsoft Fabric and Azure platforms, including:
  • Fabric Lakehouse/Warehouse/Event House/ Materialized Lake view
  • Fabric Ingestion (Data Factory, Pipelines, Dataflow Gen1, Dataflow Gen2, Copy Job, Notebooks, EventStream, Spark Job Definition, Spark structure streaming)
  • Fabric Orchestration (Apache Airflow)
  • Fabric Data Engineering Languages (Py-Spark/Spark SQL /KQL)
  • Experience with Azure analytics services, including:
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Storage
  • Azure Databricks (where applicable)
  • Development using Python and Spark notebooks
  • Understanding of data modeling skills, including dimensional modeling (Kimball / star schema) types such as import, direct lake
  • Advanced SQL skills for analytical workloads
  • Good understanding of Power BI
  • Workspace, security, and capacity management
  • Solid understanding of DevOps / GitHub for version control and CI/CD
  • Practical understanding of Microsoft Fabric governance, security (One Lake Security, SQL security), and workload management
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Data Engineering Professional with Microsoft Fabric platform • Montreal, Canada

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