[Job - 31147] Senior Data Developer (Azure e Databricks), Brazil

Develop and maintain data pipelines using Databricks, PySpark, Python, and SQL to transform raw financial data into reliable datasets. Integrate new data sources into the existing data ecosystem, enhancing business visibility across financial operations. Support financial data reconciliation, P&L routines, and global closing processes, ensuring data consistency and accuracy.

Solid experience with Databricks, including notebooks, jobs, and workflows. Strong proficiency in data processing using PySpark, Python, and SQL, with demonstrated experience in transforming raw data into reliable datasets. Practical experience with Delta Lake and Lakehouse architecture, including Delta tables and data optimization.

The company is growing and requires the presence of employees in the Campinas Metropolitan Region office as per the current attendance policy. The role supports a strategic client in the financial services sector, specifically in payments and acquiring.