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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining high-scale data pipelines, with strong proficiency in Python, SQL, and PySpark. Capable of collaborating effectively across international teams while ensuring data quality and compliance.
Highest-signal resume keywords
Data Engineering ExperiencePython ProficiencyAWS Cloud ServicesEvent-Based Data StreamingSQL Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DevelopmentData ModelingOrchestration LogicReal-Time ProcessingPySparkSQLPython
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
AWSLakehouseData LakeAgentic AI Tooling
Industry Keywords
Data QualityPipeline ComplianceOperational Support
Tech Stack
Tools & technologiesAWSCloudPySparkPythonSQL
About the role
Key responsibilities & impact- Build and maintain high-scale, near real-time data pipelines for global product and service teams
- Design, build, and maintain production-grade event-based data pipelines processing thousands of events per second
- Implement scalable data modeling and orchestration logic to transform raw event streams into optimized downstream data models
- Extend core data platform toolsets and manage production pipeline release, monitoring, and maintenance
- Partner with product teams, downstream consumers, SRE/Infrastructure, and InfoSec to ensure data quality, security, and pipeline compliance
- Use agentic AI tooling to accelerate development, improve context management, and write maintainable code
- Provide operational support across US time zones while working from Brazil
Requirements
What you’ll need- ~3–5+ years of hands-on data engineering experience building production data platforms; formal degree not strictly required
- Strong proficiency with Python, SQL, and PySpark
- Solid practical experience with AWS cloud services and Lakehouse/Data Lake fundamentals
- Familiarity with high-throughput event-based data streaming and real-time processing patterns
- Clear verbal and written English communication skills to collaborate effectively across international teams
- Applicant assessment and background check may be part of the hiring procedure
Benefits
Comp & perks- Company-wide bonuses based on monthly sales targets
- Employee referral bonuses
- Adoption assistance
- Tuition reimbursement
- Certification reimbursement
- Certification completion bonuses
- Modern, high-tech, and fun work environment
