Negotiable
Outside
Remote
USA
Summary: The role of a Databricks Engineer with Google Cloud Platform involves designing, building, and optimizing large-scale data pipelines and analytics solutions. The position requires expertise in integrating Databricks with Google Cloud services to enable scalable data engineering and advanced analytics workflows. A Databricks certification is considered a plus. The role is primarily remote but may also be based in Chicago, Illinois.
Key Responsibilities:
- Design, build, and optimize large-scale data pipelines and analytics solutions.
- Leverage Databricks unified analytics platform to integrate with Google Cloud Platform services.
- Enable scalable data engineering, machine learning, and advanced analytics workflows.
Key Skills:
- Expertise in Databricks and Google Cloud Platform.
- Experience with BigQuery, Cloud Storage, and Compute Engine.
- Strong background in data engineering and analytics.
- Databricks certification (preferred).
Salary (Rate): undetermined
City: Chicago
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Lead Databricks with Google Cloud Platform
Remote
Experience: 12+
Job description
We are seeking a skilled Databricks Engineer with expertise in Google Cloud Platform (Google Cloud Platform) to design, build, and optimize large-scale data pipelines and analytics solutions. The role involves leveraging Databricks unified analytics platform to integrate with Google Cloud Platform services such as BigQuery, Cloud Storage, and Compute Engine, enabling scalable data engineering, machine learning, and advanced analytics workflows
Databricks certification is plus.