Hybrid in Toronto, no fixed days in office, work from office will be once in a while.

As a Senior Data Engineer, you will design, build, and continuously improve critical data processing and analytics pipelines. You will solve complex technical problems to enhance platform reliability, resiliency, and scalability, and you will deliver dashboards and reporting solutions that enable stakeholders to analyze performance and make data‑informed decisions

Qualifications

• 4–7 years of relevant industry experience in big data systems, data processing, and SQL databases.
• 3+ years of experience coding with Spark Data Frames, Spark SQL, and PySpark.
• 3+ years of hands‑on programming experience with the ability to write modular, maintainable code (preferably Python and SQL).
• Strong understanding of SQL, dimensional modelling, and analytical data warehouses (e.g., Hive, Snowflake).
• Familiarity with ETL workflow management/or...