Senior Data Engineer in Databricks & AWS

Drive high-performance data engineering at a senior level focusing on Databricks and AWS. You will craft scalable data solutions that empower analytics and machine learning workflows.

In this role, you will design, build, and optimize data pipelines for a major Databricks transformation initiative. Collaborate closely with Data Analytics and BI teams to deliver business intelligence insights while enhancing an existing AWS data stack. Your expertise will be critical in ensuring data quality and performance for enterprise reporting systems.

Key Responsibilities:

• Design and maintain scalable data pipelines using Python and Spark

• Enhance AWS data stack for improved performance and reliability

• Lead efforts in a large Databricks initiative

• Partner with Data Analytics for enterprise reporting support

• Support machine learning workflows and data pipeline integration

Requirements:

• 5+ years in Data Engineering or related field

• Expertise in Python and Apache Spark

• Proven experience with AWS Cloud services

• Hands-on experience with Databricks

• Strong knowledge of data architecture and ETL processes

Take ownership and contribute to transformative data solutions impacting business decisions.
#J-18808-Ljbffr