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Data Engineer

  • Brampton, ON
  • On-site
  • Posted Sep 8, 2026
  • 1 position

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Employment type
Full-time
Experience level
Senior · 5+ years
Apply by
Mar 7, 2027
Posting language
English
Working hours
40 hours per week
Seniority
Mid-Senior level
Application method
Direct apply is available

Job summary

The role involves designing and implementing enterprise data platforms using Microsoft Fabric and Azure services. Responsibilities include managing data migration, ETL/ELT processes, and ensuring data validation and performance tuning.

Job details

5+ years in Data Engineering, Data Warehousing, or BI. Hands-on Microsoft Fabric experience. Strong data migration, ETL/ELT, integration, and transformation skills. Strong SQL, data modeling, and enterprise data platform experience. Experience with performance tuning and data validation. Experience with Power BI, Azure Data Factory, Synapse, and Azure SQL. Knowledge of SAP BO, Sybase, Tableau, CI/CD, DevOps, and data governance is preferred. Experience in cloud modernization and Agile/Scrum environments.

What you’ll do

The role involves designing and implementing enterprise data platforms using Microsoft Fabric and Azure services. Responsibilities include managing data migration, ETL/ELT processes, and ensuring data validation and performance tuning.

Requirements

Requires over 5 years of experience in Data Engineering or BI with strong proficiency in SQL and data modeling. Experience with the Azure stack and familiarity with SAP BO, Sybase, and Agile methodologies is preferred.

Listed skills

  • Power BI · Preferred
  • SQL · Preferred
  • CI/CD · Preferred
  • Data Validation · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Microsoft Fabric
  • ETL/ELT
  • SQL
  • Data Modeling
  • Power BI
  • Azure Data Factory
  • Azure Synapse
  • Azure SQL
  • Data Migration
  • Performance Tuning
  • Data Validation
  • CI/CD
  • DevOps
  • Data Governance
  • Cloud Modernization
  • Agile/Scrum

Job areas

  • Data & Analytics
  • Technology
  • Software
  • Consulting
  • Engineering

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