With the Data Intelligence Platform, Databricks democratizes insights to everyone in an organization. Built on an open lakehouse architecture, the Data Intelligence Platform provides a unified foundation for all data and governance, combined with AI models tuned to an organization’s unique characteristics. Now, anyone in an organization can benefit from automation and natural language to discover and use data like experts, and technical teams can easily build and deploy secure data and AI apps and products.
Experience
7+ years of experience in data engineering, data platforms, and analytics.
10+ years of consulting experience.
Certifications & Training.
Completed Databricks Data Engineering Professional certification.
Completed all required classes.
Project Delivery
Minimum 6–8+ projects delivered with hands-on development experience on Databricks.
Technical Skills
Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with deep expertise in at least one.
Deep experience with distributed computing using Spark, including knowledge of Spark runtime internals.
Familiarity with CI/CD for production deployments.
Working knowledge of MLOps.
Current knowledge across the breadth of Databricks product and platform features.
Familiarity with optimizations for performance and scalability.
A CV and a couple of lines about you is plenty.