Role: DataBricks Developer with Azure and ML experience Location: Seattle, CA Duration: 9 Months Contract Summary: We're hiring a skilled DataBricks Implementation Specialist to design, deploy, and manage DataBricks environments for optimal data processing. This role involves collaborating with teams to create and maintain efficient DataBricks solutions meeting our data needs. Responsibilities: • Design, deploy, and maintain DataBricks clusters for data processing, analytics, and machine learning. • Collaborate with teams to build scalable DataBricks solutions meeting data requirements. • Develop and optimize ETL pipelines and data workflows within DataBricks. • Ensure data governance, security, and compliance standards within the platform. • Troubleshoot issues and optimize queries for efficient data processing. • Provide guidance and training on DataBricks usage and best practices. • Stay updated on DataBricks advancements to suggest enhancements for better data capabilities. • Translate business objectives into effective DataBricks solutions. Qualifications: • Bachelor's/Master's in Computer Science or related field. • 10+ years of proven DataBricks experience in deploying, managing, and optimizing clusters. • Proficiency in Python, Scala, or SQL for data manipulation in DataBricks. • Strong understanding of ETL, data engineering, and cloud platforms. • Knowledge of data governance, security, and compliance in DataBricks. • Problem-solving skills and ability to collaborate across teams. Preferred: • DataBricks certifications or relevant cloud certifications. • Experience in machine learning workflows within DataBricks.
Job Type
Contractor role
Skills required
Python
Location
Seattle, WA
Salary
No salary information was found.
Date Posted
October 22, 2024
Resource Informatics Group, Inc is seeking a Senior DataBricks Developer with Azure and ML experience to design and manage DataBricks environments in Seattle, WA. This 9-month contract role requires expertise in data processing, ETL pipelines, and collaboration across teams.