Senior/Pleno Data Developer (Databricks/Data Lakehouse)

Design, develop, and optimize efficient and scalable data pipelines using advanced SQL and Python/PySpark. Create and maintain optimized data models for analytical consumption, applying best practices like Star Schema and layered structuring. Implement and lead testing routines and governance to ensure data integrity and reliability throughout the pipeline. Manage the project roadmap, identifying technical dependencies and planning deliveries proactively.

Solid experience with relational databases (SQL, Oracle) and the Databricks ecosystem (Spark, PySpark). Deep understanding of data layers Bronze, Silver, and Gold, as well as Star Schema and Analytical Tables (OBT). Strong knowledge of data quality, governance, and essential operations like MERGE in Data Lakehouse environments. Proficiency in SQL for complex queries and Python/PySpark for data transformation.

Presence in the office in Campinas is mandatory for residents of the Metropolitan Region. The company offers a collaborative environment with a focus on impactful AI solutions and technological transformation.