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 CatalogRequirements:
- 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 Git Lab for version controlBring your extensive expertise in Databricks and Azure cloud services to make a significant impact in this data engineering role.#J-18808-Ljbffr

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