Senior Data Engineer, Databricks

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain scalable data pipelines utilizing Databricks and Python.

• Construct and enhance ETL workflows for both structured and unstructured data.

• Engage with Databricks Lakehouse architecture and apply best practices.

• Oversee and implement data governance through Unity Catalog.

• Integrate AWS data services including S3, IAM, VPC, and other pertinent services.

• Collaborate with cross-functional teams to deliver high-quality data solutions.

• Create dashboards and facilitate data visualization needs.

• Ensure data quality, reliability, and optimize performance.

⛳️ Requirements

• 4-8+ years of experience.

• Extensive experience with the Databricks platform.

• Proficient in Python for data engineering and ETL processes.

• Practical experience with Unity Catalog.

• Strong understanding of AWS services (S3, IAM, VPC, Glue/Lambda – preferred).

• Comprehensive knowledge of Data Lake / Lakehouse architecture.

• Experience in developing dashboards and reporting solutions.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Generous paid time off and flexible work schedules.

• Opportunities for professional development and growth.

• Collaborative and inclusive work environment.