Senior Data Engineer - Spark, PySpark & Big Data Architect
Summary
Designs and builds scalable data pipelines using Spark, PySpark, HDFS and SQL to process large datasets for analytics and business insights.
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 benefits package and opportunities to impact large-scale projects.