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Data Engineer – MS Fabric #26-11499

US Tech Solutions

Toronto · On-site Contract 3d ago

About the role

Location: Remote

Duration: 6 months contract (with possible extension)

Description

Modernizing its enterprise analytics platform using Microsoft Fabric. We’re looking for a hands on Data Engineer to help ingest, transform, manage, and deliver trusted data and insights across investment, finance, and risk teams.

This role sits within the Data Engineering team and focuses on building and operating lakehouse based analytics solutions end to end.

What You’ll Do: • Build data pipelines in Microsoft Fabric ingesting data from: • External files (CSV, XML, Excel, vendor feeds) • SQL Server databases • SharePoint and other enterprise sources • Implement Bronze (raw), Silver and Gold (business ready) layers in Fabric Lakehouse • Design patterns and develop ETL/ELT processes • Create semantic models for agentic frameworks and reporting • Participate in Fabric environment management including workspaces, capacities, access, and promotion across environments • Apply data governance, quality, and security standards • Collaborate with enterprise engineering and Investments business and technology teams

What You Bring: • 3+ years of experience in building implementing data engineering solutions • Hands on experience with Microsoft Fabric, including: • Lakehouse, OneLake, Pipelines, Notebooks, DataFlow Gen2, Power Query • Workspace, capacity, and environment management

About US Tech Solutions:

US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visitwww.ustechsolutions.com.

US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

AI Statement: By applying, you acknowledge that AI-assisted tools may be used during hiring.

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