Platform and Databricks DevOps Engineer

About this kind of role

What a Platform and Databricks DevOps Engineer usually does. The employer's own details are in the listing.

Typically does: This role focuses on automating and streamlining the deployment and management of applications and data pipelines within a cloud-based platform, often utilizing Databricks. Responsibilities include building and maintaining infrastructure as code, monitoring system performance, and troubleshooting issues to ensure reliability and scalability. Collaboration with development and data science teams is essential to optimize workflows and implement best practices. The engineer will also be involved in security hardening and compliance efforts.

Tools and skills: Proficiency in scripting languages (Python, Bash), cloud platforms (AWS, Azure, GCP), infrastructure-as-code tools (Terraform, CloudFormation), containerization technologies (Docker, Kubernetes), and Databricks is generally required.

Good fit for: Individuals with a strong background in DevOps principles, cloud computing, and a passion for automation and data engineering typically excel in this role.