📋 Description

• Design, build, and evolve scalable data platforms and petabyte-scale workloads.
• Develop large-scale data pipelines using Scala, Spark, and cloud-native tech.
• Collaborate in agile value stream teams with engineers, product owners, and stakeholders.
• Ensure reliability, performance, and cost efficiency of data processing workloads.
• Contribute to production-grade platforms with tested code and end-to-end features.
• Support deployments, monitoring, and continuous improvement of system reliability.

🎯 Requirements

• Bachelor’s degree in CS/Engineering or equivalent experience.
• Experience in software or data engineering.
• Hands-on with cloud-native data platforms (AWS, GCP, or Azure) and services such as S3, Glue
• Strong understanding of distributed systems and data partitioning.
• Experience with Git-based version control and agile methodologies.
• Good English skills and willingness to travel to São Carlos when needed.

🎁 Benefits

• Explore opportunities at a global data and technology company.
• Be part of a diverse, inclusive culture with recognized awards.