Hiring an Intermediate GCP Data Engineer for a Fortune 100 retailer. 6-month contract + extension, 2-3 days/week in Toronto, ON.
Responsibilities
We are seeking an Intermediate GCP Data Engineer to join our team for a contract role with a Fortune 100 major retailer. The role involves working with Google Cloud Platform technologies to build and maintain data pipelines, optimize processes, and ensure data quality across large datasets. This position requires 2-3 days per week onsite in Toronto, ON.
Requirements
Proficiency in SQL, Python, Google BigQuery, GCP Dataflow, Pub/Sub, PySpark, Airflow, Vertex AI, Iceberg, Starrocks; applied AI/ML experience; familiarity with cloud platforms (GCP); strong analytical and problem-solving abilities; commitment to data accuracy, governance, and performance.
Senior Data Architect guiding data architecture during regulatory platform development. Collaborating across teams for scalable, secure data solutions aligned with enterprise standards.
Senior Data Engineer managing Nimble's data platform for effective data access and compliance in healthcare. Collaborating across teams to streamline pharmacy operations and enhance data workflows.
Data Engineering Intern at Boeing Vancouver developing scalable data pipelines with Python and Spark. Collaborating with multidisciplinary teams and gaining exposure in the Aerospace industry.
Lead Data Engineer responsible for data infrastructure design and performance optimization. Collaborating with teams to enhance data products for Just Eat Takeaway.com.
Data Engineer at Capgemini Engineering transforming company operations through high data quality and tooling. Collaborating with various teams to improve merchandising and sales through data solutions.