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 in Mississauga employer: Compunnel Inc.
Join a forward-thinking company in Toronto that prioritizes innovation and employee development. As a Digital Banking Engineering Manager, you'll thrive in a collaborative work culture that values continuous improvement and offers ample opportunities for professional growth. With a focus on modern banking solutions, this role not only allows you to lead a talented team but also empowers you to make a meaningful impact in the digital banking landscape.
