- São Carlos, São Paulo, Brazil
- Hybrid
- Full-time · Mid
Design, develop, and improve scalable, cloud-native data platform solutions that support critical business products.
Responsibilities
- Design, develop, and maintain large-scale data pipelines using Apache Spark and cloud-native technologies, ensuring performance, scalability, and reliability.
- Solve complex data engineering challenges by building efficient distributed systems and optimizing data processing workflows.
- Contribute to production-grade data platforms through high-quality, tested code and end-to-end feature development.
- Maintain clean, reusable, testable, and well-documented code while following engineering standards and participating in code reviews.
- Collaborate within agile value stream teams, working closely with engineers, product owners, and cross-functional stakeholders.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related technical field
- Nice to have: AWS
- Nice to have: Google Cloud Platform (GCP)
- Nice to have: Microsoft Azure
- Nice to have: Amazon S3