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

Solid 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