Especialista em Engenharia de Dados e Automações

Understand processes, needs, and business rules in the Logistics Intelligence area, translating challenges into data solutions, integrations, and automations. Develop, maintain, and evolve data pipelines and transformations in a Databricks environment using PySpark, SQL, and Python. Build and maintain system integrations through APIs and develop automations using Power Automate and other technologies.

Bachelor's degree completed or in progress. Experience with Data Engineering and developing solutions in a Databricks environment. Practical knowledge in PySpark, SQL, and Python. Experience in building and maintaining data pipelines and ETL/ELT processes.

Offers medical and dental assistance, annual variable remuneration, meal and food allowance, transportation options, hybrid work model, remote work support, life insurance, home and auto insurance, family funeral assistance, private pension, access to various courses, and flexible working hours.