The Canadian Cancer Society seeks a Data Engineer committed to enhancing data operations within a hybrid work model. Utilize your skills in data transformations and cloud services.

In this role, you’ll focus on optimizing data ingestion processes, developing data integrations, and ensuring data quality and governance across systems. Contribute to an innovative environment dedicated to improving cancer care in Canada by applying your expertise in modern data architecture and technologies.

Key Responsibilities:
• Design and implement automated ETL frameworks
• Optimize data models using medallion architecture
• Develop and maintain CI/CD pipelines using Azure DevOps
• Collaborate with teams for scalable data solutions
• Conduct data quality validation and monitoring

Requirements:
• Bachelor’s or Master’s degree in relevant disciplines
• 3-5 years of experience in data engineering roles
• Solid background in Microsoft Fabric and Apache Spark
• Proficient in SQL, Python, and cloud technologies
• Capable of working in Agile environments with CI/CD practices

Drive positive change in cancer care through your data engineering capabilities.
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📌 Hybrid Data Engineer Role in Canada (Alberta)
🏢 Canadian Cancer Society
📍 Alberta