Design Microsoft Fabric data pipelines as a Data Engineer with the Canadian Cancer Society, using Python, SQL, and Apache Spark in a hybrid model.
Reporting to the Senior Manager, Data Engineering & Services, you will develop and optimize data platform services. The work includes Lakehouse architecture, data transformations, integrations, and reusable datasets. You will also support governance, quality, security, and reliability across organizational data solutions.
Key Responsibilities: Design and optimize Microsoft Fabric pipelines, dataflows, and notebooks
Develop structured and unstructured ETL and ELT workflows
Build Lakehouse models using medallion architecture
Develop Azure integrations, batch workflows, and real-time ingestion




Maintain CI/CD pipelines and operational monitoring
Requirements: Bachelor’s or Master’s degree in a related discipline
Three to five years of related experience
Solid Microsoft Fabric, Apache Spark, SQL, and Python proficiency
Experience with APIs, cloud integrations, and data pipelines
Familiarity with governance, DevOps, testing, and documentation
Apply Microsoft Fabric, Spark, Python, and SQL expertise to strengthen data engineering for cancer care across Canada.

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📌 Microsoft Fabric Data Engineer (Newfoundland and Labrador)
🏢 Canadian Cancer Society
📍 Newfoundland and Labrador