Databricks SQL and Analytics Engineer

Responsibilities: Build and maintain curated analytics models and gold layer tables using SQL and Databricks SQL Define and document metrics to ensure consistent answers across inquiries Develop dashboards and self-service datasets in Databricks SQL, Power BI, or Tableau Tune SQL warehouse sizing, caching, and query performance for interactive workloads Implement testing and data quality checks on analytics models Partner with business stakeholders on requirements and translate ambiguous asks into specific definitions Enable self-service consumers through documentation, training, and sensible dataset design

Key requirements: 4+ years in analytics engineering, business intelligence development, or data engineering Advanced SQL including window functions, complex joins, and query optimization Hands on experience with a modern BI platform such as Power BI, Tableau, or Looker Understanding of dimensional modeling and how to design for consumption Version controlled development practice using Git Strong stakeholder communication and requirements gathering skills stakeholder communication requirements gathering collaboration Databricks SQL SQL with advanced features (window functions, joins) Power BI