Support the decision-making of our games operations through high-quality data products and well-structured dashboards;
Building and evolving integrations with third-party APIs, such as app stores, ad networks, and other external data providers;
Developing our internal event streaming process, responsible for the analytical and backend events;
Designing and maintaining the pipelines and tables that power our revenue, player, KPI, crashlytics, and experimentation data;
Operating and evolving the data platform itself, including Airflow, Databricks workspace, data lake, and Looker.
Requirements
Solid Python and SQL skills;
Hands-on experience with data engineering tools and concepts, such as ingestion services, orchestration, batch and streaming processing, data lakes, BI concepts;