Data Engineer: ETL Pipelines & Python/SQL (Hybrid)
Summary
Design, build, and automate scalable ETL data pipelines using Python and SQL, extracting, transforming, and loading data from varied sources while ensuring high data quality to support analytics. This is a long-term consulting engagement with a major bank client, hybrid with 2 onsite days in Toronto.
Unisystech Consulting Inc. is seeking a Data Engineer to design, build, and automate scalable data pipelines. You will leverage Python and SQL expertise to extract, transform, and load data from varied sources, ensuring high data quality and supporting analytics across the organization. This is a long-term consulting role with a major bank client.
Work is hybrid with 2 days onsite in Toronto; location is M1W, Scarborough. In-person interview is required.