Senior Data Engineer
Mississauga, ONCapgemini
8+ YOECandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake
DevOps / Cloud Engineer
Toronto, ONCapgemini
5+ YOECandidates need about 5 to 6 years of DevOps, cloud or platform engineering experience, with strong hands-on Red Hat OpenShift and Kubernetes skills. They also need working knowledge of PostgreSQL, scripting, and the ability to learn an unfamiliar application independently.
Red Hat OpenShift, Kubernetes, Docker, Git, PostgreSQL, Splunk