Data Engineer
Hybrid · Toronto
Build, optimize, and monitor data pipelines and Databricks Spark workloads that ingest, transform, and analyze large datasets while maintaining data quality, security, and governance. Design and develop enterprise data warehouse solutions, write and review SQL and Python code, troubleshoot performance issues, and collaborate with business users.