Shape the future of cancer care as a Data Engineer with the Canadian Cancer Society. Work in a hybrid model in Toronto, utilizing modern tools to manage data pipelines and analytics.

This role involves designing and optimizing data platform services, developing automated ETL workflows, and ensuring data quality and governance at the Canadian Cancer Society. You’ll collaborate with teams to implement data solutions using Microsoft Fabric, Apache Spark, and Azure services, driving innovation within the organization.

Key Responsibilities:
• Design and implement data ingestion processes using Microsoft Fabric
• Develop end-to-end ETL/ELT workflows for structured data
• Maintain data integrations with Azure and external systems




• Optimize data pipelines for performance and reliability
• Support governance standards in data solutions

Requirements:
• Bachelor’s or Master’s degree in related field
• 3-5 years of relevant experience in data engineering
• Proficiency in Microsoft Fabric and Apache Spark
• Solid skills in SQL and Python for data development
• Experience with CI/CD and DevOps practices

Elevate cancer care through data engineering at the Canadian Cancer Society.
#J-18808-Ljbffr

📌 Data Engineer - Hybrid Model, Toronto (Alberta)
🏢 Canadian Cancer Society
📍 Alberta