37.5 hours a week Tues/Thurs onsite downtown Toronto Responsibilities Analyze SSIS packages, transformations, parameters, schedules, and dependencies Troubleshoot migrated Microsoft Fabric workloads and identify refactoring requirements Develop and execute QA and reconciliation checks for row counts, business rules, nulls, duplicates, and incremental loads Investigate validation differences and support defect resolution and retesting Assess Fabric workspace structure, Lakehouse/Warehouse design, orchestration, access controls, monitoring, and performance Contribute to deployment, setting promotion, production readiness, cutover, and rollback planning Review technical work and transfer knowledge to delivery and support teams Must Haves 8+ years in data engineering , ETL development, data warehousing, or enterprise data migration Hands-on expertise with SSIS and SQL Server/T-SQL ,



including package reverse engineering, control/data flows, stored procedures, and performance troubleshooting Hands-on delivery using Microsoft Fabric , including Data Factory pipelines , Lakehouse, Warehouse, One

Lake, and orchestration patterns Practical experience modernizing legacy ETL workloads , including SSIS-to-Fabric migration, QA validation, reconciliation, and defect analysis Education in computer science, software development, data engineering, or a related field Nice to Have Financial services or other regulated data environment experience Dataflows Gen2 Fabric notebooks and Python/PySpark Azure Data Factory; Git, Azure Dev

Ops, and CI/CD Power BI semantic models and reporting dependencies

📌 Senior Microsoft Fabric Data Engineer / SSIS Migration Lead (7+ years) to support an SSIS-to-Microsoft Fabric transformation (Toronto)
🏢 S.i. Systems
📍 Toronto