Databricks Data Engineering Role

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.