Expert Databricks Data Engineer Opportunity

We seek a Senior Databricks Data Engineer dedicated to designing and optimizing data pipelines. This role requires a hands-on approach, leveraging PySpark and SQL to improve data processes and architecture.

In your role, you'll lead the charge in end-to-end data pipeline execution and Lakehouse modernization. You'll engage deeply with Databricks to optimize cluster performance and enforce essential data governance, all while collaborating on high-impact solutions.

Key Responsibilities:

• Develop and support real-time streaming and batch pipelines

• Implement robust Medallion architectures and support BI needs

• Troubleshoot and optimize Spark performance issues

• Ensure data governance through Unity Catalog

• Establish automated CI/CD processes for testing and deployment

Requirements:

• 8+ years in Data Engineering, including 4 years in Databricks

• Proficient with PySpark, Advanced SQL, and Python

• Extensive experience with Delta Lake and workflows

• Strong cloud integration experience (AWS, Azure, GCP)

• Knowledge of dimensional modeling strategies

Channel your data engineering capabilities to enhance our data infrastructure in a rewarding environment.
#J-18808-Ljbffr