Analytics Engineer II

Develop and optimize data models to provide relevant product and business information for decision-making. Lead the architecture and development of robust and scalable data pipelines, optimizing ETL/ELT processes. Ensure data quality and security by standardizing, documenting, and governing data practices. Collaborate with teams to define projects and apply a data-driven approach.

Advanced SQL skills and solid knowledge of data modeling and storage. Experience with relational and non-relational databases and cloud data services (preferably GCP). Ability to translate business needs into robust data models and solve problems independently. Experience with large data volumes and process orchestration (e.g., Airflow).

Flexible work arrangement focused on achieving a good balance inside and outside the office. Emphasis on team collaboration and user-centric values.