Data Engineer — AI-Driven Analytics & BigQuery Pipelines
Summary
Designs and maintains scalable data pipelines for retail analytics using Google BigQuery and Python to ensure high-quality data management.
A leading home improvement retailer in Toronto is seeking a Data Engineer to design scalable data pipelines and enhance data solutions. The ideal candidate has a Bachelor's degree in a technical field and 3-5 years of experience in data engineering, particularly in the retail domain. Responsibilities include collaborating across teams to ensure high-quality data management and leveraging tools like Google BigQuery and Python to drive innovations. This is a full-time position offering a competitive pay range of $60,000 to $90,000 annually.