Azure Databricks and PySpark expertise define this Senior Azure Data Engineer contract in Toronto, supporting scalable cloud data engineering solutions.

This Senior / Lead Azure Data Engineer role requires hands-on Microsoft Azure experience across Azure Data Factory, Azure Synapse Analytics, and Azure SQL. You will design enterprise-scale pipelines, process large workloads, and support reliable data solutions. Financial or banking data experience is valued.

Key Responsibilities:

- Design scalable ETL/ELT pipelines using Azure Data Factory
- Build processing solutions with Azure Databricks and PySpark
- Develop ingestion frameworks for Azure Data Lake Storage Gen2
- Implement cloud warehouses using Synapse Analytics and Azure SQL




- Optimize Spark jobs, SQL queries, and cloud resources

Requirements:

- 10+ years in Data Engineering or Data Warehousing
- 5+ years with Azure Data Engineering technologies
- Strong Azure Databricks, PySpark, Spark SQL, and Python
- Robust SQL Server and Azure SQL Database experience
- Bachelor's degree in Computer Science, Engineering, or related field

Apply Azure, Databricks, PySpark, and SQL expertise to enterprise data pipelines in Toronto's contract engineering market.

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📌 Senior Azure Data Engineer Toronto
🏢 Enterprise Solutions
📍 Toronto