Hybrid Data Engineer – Cloud Pipelines & Lakehouse
Canadian Cancer Society
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Benefits offered by this job
Job summary
Canadian Cancer Society is seeking a Data Engineer to design, build, and optimize data pipelines and data platform services. You will work with Fabric-based workflows, Spark transformations, and data models to support analytics and reporting.
Hybrid work model may apply across multiple Canadian offices, including Montreal. You will collaborate with business and IT teams to ensure secure, scalable data solutions and reliable data movement across systems.
Qualifications
- Bachelor’s or Master’s degree in computer science, information systems, data engineering or related fields.
- Certifications related to data engineering are preferred.
- 3–5 years of relevant experience in data engineering or related roles.
Responsibilities
- Design, develop, and maintain data pipelines and platform services.
- Collaborate with business and technical teams to implement secure, governed data solutions.
- Build scalable ETL/ELT workflows using Fabric, Spark, and modern cloud technologies.
- Develop data transformations and data models for analytics and reporting.
- Establish monitoring, reliability, and CI/CD practices for data workloads.
Skills
Education
Tools
Job description
Canadian Cancer Society is seeking a Data Engineer to design, build, and optimize data pipelines and data platform services. You will work with Fabric-based workflows, Spark transformations, and data models to support analytics and reporting.
Hybrid work model may apply across multiple Canadian offices, including Montreal. You will collaborate with business and IT teams to ensure secure, scalable data solutions and reliable data movement across systems.
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