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