Capgemini is seeking an experienced data and analytics professional for a hybrid role based in Mississauga. You will lead end-to-end data processing using HDFS, Spark, PySpark and SQL, collaborating with business users and cross-functional teams.
The role requires 5-8 years of relevant experience, strong knowledge of Spark components, and hands-on programming in Python. Capgemini Canada offers a comprehensive advantages package and opportunities to impact large-scale projects.
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📌 Senior Data Engineer - Spark, PySpark & Big Data Architect (Ontario)
🏢 Capgemini
📍 Ontario
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