Hybrid Azure Data Engineer Toronto

Elevate your career as an Azure Data Engineer in Toronto, ON, with a hybrid work model. Focus on designing data pipelines using Azure Databricks and ensure data quality across systems.

This position calls for a data engineer with 8–10 years of experience. You will build scalable frameworks and integrate end-to-end data pipelines while collaborating with cross-functional teams. A strong foundation in streaming technologies and data ingestion processes is essential to support various project components.

Key Responsibilities: • Design and implement data ingestion pipelines with Azure Databricks • Create reusable frameworks for data ingestion • Integrate pipelines from source systems to target repositories • Collaborate with teams on API interfaces and search functionality • Provide L1, L2, and L3 support activities

Requirements: • 8–10 years of experience in data engineering • Proficient in Azure Databricks and Azure Data Factory • Strong skills in event-based s...