Description: Apply quickly via email: Requirements and qualifications: Requirements and qualifications * Practical experience with data pipelines, ETL/ELT tools, and orchestration * Proficiency in SQL and Python * Knowledge of Spark, PySpark, Databricks, and Data Lake / Lakehouse architecture * Experience with code versioning (Git) and software development best practices * Ability to communicate clearly and collaborate with technical and business teams * Preferred: experience with pipeline monitoring and automated testing Responsibilities and duties: Responsibilities and duties * Develop and maintain data pipelines (ETL/ELT) with a focus on scalability and performance * Create and optimize data automations * Contribute to the evolution of data architecture by applying best practices * Work with cloud technologies, especially Google Cloud Platform (GCP) and Databricks * Integrate APIs and centralize data from various sources in Databricks * Participate in technical documentation and process standardization * Collaborate with business and BI teams to ensure alignment on deliverables Benefits: Meal allowance (R$260.00 with R$1.00 payroll deduction), Health insurance, Dental insurance, Birthday day-off, Quarterly bonus, Annual bonus, TotalPass Working hours: Monday to Friday, 7:30 AM to 5:18 PM. Remote work. Knowledge: Education: Bachelor's degree — Systems Analysis and Development, Engineering, Computer Engineering, Information Technology — Completed 2512030202191843593