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 Solid Azure Databricks, PySpark, Spark SQL, and Python Strong 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.

📌 Senior Azure Data Engineer Toronto
🏢 Enterprise Solutions
📍 Toronto