Azure Data Engineer

Location: Toronto, ON | Work Style: Hybrid

Design and implement data ingestion pipelines from multiple sources using Azure Databricks. Build scalable and reusable frameworks for ingesting data sets. Integrate end‑to‑end data pipelines to move data from source systems to target repositories while maintaining data quality and consistency.

Work with event‑based streaming technologies to ingest and process data. Collaborate with project team members to support delivery of additional components such as API interfaces and search functionality. Evaluate the performance and applicability of multiple tools against customer requirements. Provide L1, L2, and L3 support activities.

• Experience with Azure Databricks and Azure Data Factory (6–8 years)
• Proficiency in event‑based streaming and data pipelines
• Experience developing reusable data ingestion frameworks
• Ability to work collaboratively with...