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.

📌 Microsoft Fabric Data Engineer (St. John's)
🏢 Canadian Cancer Society
📍 St. John's