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.#J-18808-Ljbffr

📌 Databricks Data Engineering Role Winnipeg
🏢 Compunnel
📍 Winnipeg