Data Engineer LATAM
Core
Design, develop, and maintain an open-source data platform (Data Lakehouse, ETL, orchestration) serving analysts, scientists, and engineers.
Role type
Senior Data Engineer (Batch Processing)
Builds
Scalable data platform integrating multiple sources for easy access
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models
Required skills
SQL, Python, Apache Spark, Apache Iceberg, ClickHouse, ETL/ELT, Microservices, AWS, Data Modeling
Preferred skills
Scala/Java, Docker, Kubernetes, Infrastructure-as-code, CI/CD, BI tools, Open-source contributions, AI-assisted development
Technologies
S3, Apache Iceberg, ClickHouse, AWS, Apache Spark, Docker, Kubernetes, Superset, Looker, Tableau, Metabase, GitHub Copilot, Cursor
Responsibilities
Develop scalable data platform integrating multiple sources; Design and enhance data tools (orchestration, governance, data lakehouse, BI); Optimize data pipelines (ingestion, processing, and output) in a microservices environment; Build, maintain, and monitor ETL/ELT processes; Troubleshoot and improve performance, scalability, and reliability of data infrastructure; Collaborate cross-functionally with data scientists, analysts, and backend engineers; Implement and champion data quality, governance, and security best practices.
Seniority
Senior, hands-on IC
