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S.i. Systems
Sr. Data Engineer to support the implementation of an end-to-end analytics solution using MicrosoftS.i. Systems • Ottawa
Sr. Data Engineer to support the implementation of an end-to-end analytics solution using Microsoft

Sr. Data Engineer to support the implementation of an end-to-end analytics solution using Microsoft

S.i. Systems • Ottawa
30+ days ago
Salary
CA$94.00 hourly
Job type
  • Permanent
Job description

Our valued client is looking for a Sr. Data Engineer to support the implementation of an end-to-end analytics solution using Microsoft Fabric to ingest data from various sources, create a semantic models, and enable dashboard/visualization creation for the business team.

Annual Salary approximately from $94,.00 - $,.00 per year

This is a hybrid position (2 days/week on site) in Ottawa

Tasks include:

  • Implementing an end-to-end analytics solution using Microsoft Fabric to ingest data from various sources, create a semantic models, and enable dashboard/visualization creation for the business team
  • Assist the data management team in implementing data governance frameworks, policies, and controls including classification, sensitivity, access controls, and quality validation
  • Design and implement data pipelines in Microsoft Fabric, including source mapping and documentation, create and optimize semantic models including defining business entities, relationships, and security requirements
  • Set up development, testing, and production environments
  • Create comprehensive technical documentation covering configurations, data models and business rules

Prior experience:

  • Must be eligible for or possess a reliability clearance
  • Data modeling methodologies (Star schema, Snowflake schema; Data Vault is an asset)
  • End-to-end data pipeline development, optimization, and monitoring
  • Data quality frameworks, validation techniques, and data profiling
  • Database platforms (SQL Server, Azure SQL; Oracle is an asset)
  • Fabric/Power BI semantic model development and DAX optimization
  • Multi-platform data integration and ETL/ELT design patterns
  • Lakehouse and Medallion Architecture implementation
  • Data lineage documentation and data mapping
  • Technical documentation and solution design
  • Applying organizational policies, procedures, and data governance regulations

Technical Skills

  • Microsoft Fabric (Data Factory, data pipelines, lakehouses, warehouses, notebooks, Spark job definitions)
  • Power BI (semantic modeling, DAX, Power Query M, dataflows)
  • SQL (advanced T-SQL, stored procedures, query optimization)
  • Spark (PySpark, Spark SQL, Delta Lake)
  • Python for data engineering and transformation
  • ETL/ELT design patterns and best practices
  • Lakehouse and Medallion Architecture (Bronze/Silver/Gold)
  • Azure data services (Azure Data Lake Storage Gen2, Azure Synapse Analytics, Azure SQL)
  • Version control (Git) and Azure DevOps CI/CD
  • SSIS, SSRS, SSMS (an asset)


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Sr. Data Engineer to support the implementation of an end-to-end analytics solution using Microsoft Fabric to ingest data from various sources, create a semantic models, and enable dashboard/visualization creation for the business team • Ottawa

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