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Tech Stack
Tools & technologiesApacheAWSAzureGoogle Cloud PlatformScalaSpark
About the role
Key responsibilities & impact- Design, implement, and evolve a petabyte-scale AWS data platform
- Build and optimize scalable data pipelines using Scala, Spark, and cloud-native services
- Serve as a technical lead, mentoring engineers and promoting best practices
- Contribute to architectural and design decisions
- Plan and deliver complex technical initiatives
- Ensure operational readiness by following coding standards
- Explore and adopt modern technologies
Requirements
What you’ll need- Experience in software and data engineering on large-scale data platforms
- Experience with Scala and Apache Spark
- Advanced knowledge of the AWS data ecosystem (Glue, S3, Athena)
- Strong understanding of distributed systems
- Skills in query optimization and storage patterns
- Expertise in cloud ecosystems (AWS required; Azure/GCP are a plus)
- Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
- Advanced English and availability to travel to São Carlos, SP when required.
Benefits
Comp & perks- Health benefits
- Financial incentives and retirement plans
- Paid time off
- Wellness programs
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ScalaApache SparkAWSGlueS3Athenaquery optimizationdistributed systemscloud ecosystemsdata engineering
Soft Skills
technical leadmentoringbest practicesarchitectural decisionscomplex technical initiativesoperational readinesscoding standardscommunicationteam collaborationproblem-solving
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineeringrelated field degreeequivalent experience