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Tech Stack
Tools & technologiesAWSAzureCloudDistributed SystemsGoogle Cloud PlatformScalaSpark
About the role
Key responsibilities & impact- Design, develop, and maintain large-scale data pipelines using Scala, Spark, and cloud-native technologies.
- Solve complex data engineering challenges by designing efficient, resilient distributed systems.
- Contribute to production-grade data platforms, delivering high-quality, tested code.
- Ensure software quality through clean, testable, and well-documented code, code reviews, and adherence to engineering standards.
- Collaborate within agile value stream teams with engineers, product owners, and cross-functional stakeholders.
- Provide technical guidance to peers, contributing to architecture discussions and promoting best engineering practices.
- Support release and operational processes, including deployments and monitoring.
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Solid experience in software or data engineering.
- Hands-on experience with cloud-native data platforms (AWS, GCP, or Azure).
- Strong understanding of distributed systems, resiliency patterns, data partitioning, and efficient data access strategies.
- Experience designing and operating highly parallelized data workloads.
- Proficiency with Git-based version control systems (GitHub, Bitbucket, etc.).
- Familiarity with agile methodologies and collaborative development in multi-team environments.
- Strong communication skills, with the ability to contribute in technical discussions and support peer development.
- Advanced English proficiency and availability to travel to São Carlos/SP when needed.
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ScalaSparkcloud-native technologiesdata engineeringdistributed systemsdata platformsdata workloadsGitversion controlagile methodologies
Soft Skills
communicationcollaborationtechnical guidanceproblem-solvingpeer developmentarchitecture discussionsbest engineering practicesclean codedocumentationcode reviews