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Data Engineer (MS Fabric/ ELT pipelines/Azure)company • Toronto, ON, CA
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Data Engineer (MS Fabric/ ELT pipelines/Azure)

Data Engineer (MS Fabric/ ELT pipelines/Azure)

company • Toronto, ON, CA
10 days ago
Job type
  • Full-time
Job description
Data Engineer - strong Intermediate / Sr level Duration: 6mo (possible extension) Hybrid: 3 days onsite Location: downtown Toronto Hours: 35 hours/week ***Note: this role is for public‑sector sector, so candidates must be ready for a deep-dive backcheck clearance similar to security clearance (must have 5-year of verifiable residency in Canada, PR or CAN status, clear criminal record; Canadian security clearance of any level is a nice-to-have) Technical Stack - Microsoft Fabric - Azure Data Factory, Azure Synapse (Notebooks, Pipelines) - Azure Cloud Platform - Python, SQL - SSIS - Power BI - CI/CD pipelines - IaC Infrastructure as Code (Terraform or equivalent) Requirements - 7-10 years of experience designing and maintaining cloud‑based data warehouses - 7+ years building scalable ELT pipelines using Microsoft Fabric or Azure data services - Expert‑level proficiency in Python and SQL - Hands‑on experience designing and developing SSIS packages - Strong background in data modeling (dimensional, star, snowflake schemas) - Experience supporting BI and analytics platforms (e.g., Power BI) - Proven experience implementing CI/CD for data pipelines and infrastructure‑as‑code - Microsoft Azure Data Engineer Associate (DP‑203) or equivalent (highly preferred) Responsibilities - Design, develop, and maintain reliable ELT pipelines on Azure and Microsoft Fabric - Lead or contribute to end‑to‑end delivery of enterprise data solutions, from assessment through deployment - Develop and optimize complex Python and SQL transformations - Maintain orchestration workflows supporting batch and near‑real‑time processing - Implement CI/CD pipelines to support automated deployment and version control - Produce and maintain technical artifacts including architecture diagrams, solution designs, and ETL documentation - Ensure data solutions align with data management standards, security, privacy, and governance requirements - Support testing, validation, benchmarking, and data quality monitoring - Create documentation covering data models, lineage, mappings, business rules, and transformations - Contribute to knowledge sharing and data literacy initiatives across teams
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Data Engineer (MS Fabric/ ELT pipelines/Azure) • Toronto, ON, CA

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