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Job Description

Our client, a leading financial institution in Downtown Toronto, is looking for a Data Engineer to build and optimize scalable data pipelines in Python and PySpark, ensuring reliability and performance across HDFS/Hive and AWS S3 environments. The successful candidate will have the opportunity to work with one of the Top 5 Banks in Canada.

Location: Hybrid (Downtown, Toronto)

Duration: 5 months

Typical Day in Role

• Lead migration initiatives transforming legacy SAS processes into modern, cloud‑ready Python/PySpark solutions.
• Architect data workflows that support credit risk analytics and business intelligence at scale.
• Write production‑grade code with rigorous testing, documentation, and adherence to software engineering best practices.
• Pa...