About the Role
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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...
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