Analytics Engineer

You will own the warehouse semantic and modeling layer by transforming raw data into well-defined, trustworthy datasets and metrics. You will build and maintain modular, tested, version-controlled data models; codify business logic into reusable models and metrics; define data contracts; optimize query performance and warehouse cost; and maintain documentation, lineage, and governance standards.

Responsibilities

• Build and maintain data models using modular, tested, and version-controlled practices
• Partner with domain teams to codify business logic into reusable models and metrics
• Define and document key metrics and data contracts across domains
• Collaborate with Data Platform Engineers to optimize query performance and warehouse cost
• Automate and maintain data documentation, lineage, and governance standards
• Develop guidelines for analytics development, data modeling, and structure conventions

Requirements

• Expertise with SQL, dbt, SQLMesh, or similar tools for data modeling, testing, macros, and documentation
• Experience with data warehousing concepts, cloud warehouses, and BI tools
• Understanding of dimensional modeling, data contracts, and metrics or semantic layers
• Familiarity with modern ELT and orchestration workflows
• Business acumen and ability to translate domain logic into scalable data structures
• Submit the application in English