Senior Data Engineer with Databricks Expertise

Leverage your Databricks expertise as a Senior Data Engineer, designing enterprise data platforms in a fully remote role. Join us to implement scalable data solutions using Python, AWS, and robust engineering practices.

This role focuses on end-to-end data platform architecture and engineering, requiring advanced skills in Databricks and a solid foundation in data pipeline development. You will collaborate with engineering teams, shaping best practices and ensuring secure, scalable solutions. If you have a passion for data architecture and hands-on engineering, this position is for you.

Key Responsibilities:

• Design scalable data platforms using Databricks and AWS

• Architect complete data platform implementations

• Develop data pipelines using Python, PySpark, and SQL

• Implement CI/CD practices and version control

• Manage Databricks components like Delta Lake and Unity Catalog

Requirements:

• Deep expertise in Databricks platform architecture

• Programming experience with Python, PySpark, and SQL

• Solid knowledge of CI/CD pipelines and Git workflows

• Hands-on with Infrastructure as Code using Terraform

• Strong AWS knowledge, particularly S3 and IAM roles

Bring your data engineering skills to design and implement innovative solutions in this fully remote role.
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