Analytics Engineer
Core
Design, build, and scale core data models, semantic layer, and AI-ready decision infrastructure for player behavioral telemetry and business data.
Role type
Senior Analytics Engineer (Data Modeling & AI Agent Infrastructure)
Builds
Production-grade dimensional data models, semantic layers, and AI agent workflows for Product, LiveOps, and Leadership.
Domain
Mobile Gaming / Adtech / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, dimensional data modeling (Kimball, star/snowflake), dbt, Google BigQuery, Python, Git/CI-CD, data governance, data cataloging
Preferred skills
Mobile gaming/adtech domain knowledge, Model Context Protocol (MCP), LLM APIs, workflow orchestration (Airflow/Composer), BI platforms (Metabase/Tableau/Looker)
Technologies
Google BigQuery, dbt, Metabase, Python, Git, MCP, Airflow, Composer
Responsibilities
Design and maintain production-grade dimensional data models and semantic layers; optimize BigQuery execution and query performance; establish automated testing frameworks and data quality monitoring; build tool schemas and execution flows for AI agents; own the data catalog and business glossary; partner with Data Engineers on upstream data contracts.
Seniority
Mid-Senior, hands-on IC
