Enhance your data engineering skills as a Databricks Engineer focused on Azure cloud solutions. Utilize your extensive Spark experience to optimize and deliver large-scale data pipelines. This role demands over 10 years of expertise in data engineering, particularly within financial institutions. You will design ETL/ELT pipelines and collaborate with various teams to drive analytic insights. Your work will prioritize governance, cost optimization, and performance to ensure compliance and high-quality data delivery.

Key Responsibilities
• Develop and maintain ETL/ELT data pipelines with Databricks
• Cleanse and process data using Spark and SQL
• Integrate data from sources like Azure Blob Storage




• Work with teams to support BI and reporting initiatives
• Implement governance and security measures with Unity Catalog

Requirements:
• Over 10 years in data engineering roles
• Experience in financial services or banking
• Extensive knowledge of Databricks and Lakehouse Architecture
• Proficient with Azure and Python programming
• Familiarity with GitLab for version control Bring your extensive expertise in Databricks and Azure cloud services to make a significant impact in this data engineering role.

📌 Databricks Data Engineering Role (Mississauga)
🏢 Compunnel
📍 Mississauga