Qualifications

• 10+ years in data engineering, data platforms, and analytics
• 10+ years of consulting experience
• Completed Data Engineering Professional certification and required classes
• Hands-on development experience with Databricks
• Proficiency in multiple cloud ecosystems (AWS, Azure, GCP) and deep expertise in one
• Extensive experience with distributed computing and Spark internals
• Familiarity with CI/CD processes and MLOps

Responsibilities

• Design and implement data solutions for client needs
• Collaborate with teams to enhance product offerings
• Guide clients in leveraging Databricks effectively
• Utilize deep AWS, Azure, or GCP knowledge for optimal cloud solutions
• Oversee production deployments using CI/CD practices
• Develop and maintain scalable data pipelines
• Support MLOps initiatives for clients

Benefits

• Remote work flexibility
• Opportunity to work with cutting-edge technology
• Collaborative and dynamic team environment
• Professional development and growth opportunities
• Exposure to diverse projects across various industries