7+ years of experience in data engineering and enterprise data integration. Strong hands-on experience with

Microsoft Fabric

and related Azure data services. Solid experience with

PySpark, SparkSQL, Python, and SQL/T-SQL . Experience building ingestion and transformation pipelines from APIs, files, databases, and third-party platforms. Experience with curated data layers, data modeling, and analytics-ready datasets. Experience tuning data pipelines for scale, resiliency, and cost optimization. Working knowledge of security, access controls, and data governance practices. Experience with

Azure DevOps

and

Git -based deployment automation. Preferred Skills

Experience with learning, HR, or talent data domains. Familiarity with ADF, Synapse, Databricks, Azure Functions, or Logic Apps. Exposure to

AI tools such as GitHub Copilot and Claude

to accelerate engineering productivity and solution design. Experience with data governance tooling such as Purview. Exposure to AI/ML-ready data preparation and feature engineering practices.

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📌 Data Engineer (Winnipeg)
🏢 Quarry Consulting
📍 Winnipeg