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Microsoft Fabric ​/ SSIS Modernization Consultant (5+ years) to modernize legacy ETL workloads using Microsoft Fabric

Job in Toronto, Ontario, C6A, Canada
Listing for: S I Systems
Full Time position
Listed on 2026-08-23
Job specializations:
  • Software Development
    Data Engineering, SQL Developer, Azure
Salary/Wage Range or Industry Benchmark: 90000 - 140000 CAD Yearly CAD 90000.00 140000.00 YEAR
Job Description & How to Apply Below

Microsoft Fabric / SSIS Modernization Consultant (5+ years) to modernize legacy ETL workloads using Microsoft Fabric and SSIS

Join a modernization initiative focused on migrating legacy SSIS packages and enterprise data integration processes into Microsoft Fabric. This role supports the analysis, reverse engineering, and rebuild of ETL workflows using Microsoft Fabric Data Factory, Dataflows, Lakehouse, Warehouse, One Lake, and notebooks. The consultant will work alongside a team of Fabric specialists delivering prioritized modernization workloads in a hands‑on technical environment.

Must

Haves
  • 5+ years in data integration
    , ETL development
    , and modernization initiatives
  • 3+ years with SSIS
    , SQL Server
    , and T‑SQL
  • Microsoft Fabric including Data Factory
    , Dataflows
    , Lakehouse
    , Warehouse
    , One Lake
    , and notebooks
  • ETL/ELT architecture
    , enterprise data integration
    , dependency management
    , and error handling
  • At least one significant ETL modernization or migration project
Nice to Have
  • Microsoft Fabric and/or Azure Data Platform migration experience
  • Python/Py Spark
  • Delta Lake and Lakehouse architecture
Responsibilities
  • Analyze and reverse engineer SSIS packages, SQL transformations, stored procedures, schedules, and dependencies
  • Translate legacy ETL processes into Microsoft Fabric Data Factory pipelines, Dataflows, Lakehouse, Warehouse, One Lake, and notebooks
  • Develop and optimize data ingestion, transformation, orchestration, scheduling, and monitoring processes
  • Identify source‑to‑target mappings, operational dependencies, and undocumented business logic
  • Validate migrated workloads through testing, reconciliation, and defect resolution
  • Create technical documentation, implementation notes, data mappings, runbooks, and knowledge transfer materials
  • Participate in technical reviews, backlog refinement sessions, deployments, and handovers

3 Months + Extension

Downtown Toronto

2 Days Onsite

Join a modernization initiative focused on migrating legacy SSIS packages and enterprise data integration processes into Microsoft Fabric. This role supports the analysis, reverse engineering, and rebuild of ETL workflows using Microsoft Fabric Data Factory, Dataflows, Lakehouse, Warehouse, One Lake, and notebooks. The consultant will work alongside a team of Fabric specialists delivering prioritized modernization workloads in a hands‑on technical environment.

Must

Haves
  • 5+ years in data integration
    , ETL development
    , and modernization initiatives
  • 3+ years with SSIS
    , SQL Server
    , and T‑SQL
  • Microsoft Fabric including Data Factory
    , Dataflows
    , Lakehouse
    , Warehouse
    , One Lake
    , and notebooks
  • ETL/ELT architecture
    , enterprise data integration
    , dependency management
    , and error handling
  • At least one significant ETL modernization or migration project
Nice to Have
  • Microsoft Fabric and/or Azure Data Platform migration experience
  • Azure Data Factory
  • Python/Py Spark
  • Delta Lake and Lakehouse architecture
  • Git / Azure Dev Ops
Responsibilities
  • Analyze and reverse engineer SSIS packages, SQL transformations, stored procedures, schedules, and dependencies
  • Translate legacy ETL processes into Microsoft Fabric Data Factory pipelines, Dataflows, Lakehouse, Warehouse, One Lake, and notebooks
  • Develop and optimize data ingestion, transformation, orchestration, scheduling, and monitoring processes
  • Identify source‑to‑target mappings, operational dependencies, and undocumented business logic
  • Validate migrated workloads through testing, reconciliation, and defect resolution
  • Create technical documentation, implementation notes, data mappings, runbooks, and knowledge transfer materials
  • Participate in technical reviews, backlog refinement sessions, deployments, and handovers

Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

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Position Requirements
5+ Years work experience
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