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, ETL/ELT pipelines, and orchestration workflows.
Domain
Data Engineering / Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
SQL, data modeling, Python, Apache Spark, Apache Iceberg, S3, ClickHouse, Temporal, microservices architecture, AWS
Preferred skills
Open-source contributions, BI tools (Superset, Looker, Tableau), Docker, Kubernetes, Infrastructure-as-code, CI/CD, AWS EMR, AI-assisted development tools
Technologies
S3, Apache Iceberg, ClickHouse, Temporal, Apache Spark, AWS, Python, Scala, Java, Docker, Kubernetes
Responsibilities
Develop scalable data platform integrating multiple sources; Design and enhance data tools (orchestration, governance, Data-Lakehouse, BI); Optimize data pipelines (ingestion, processing, output) in microservices; Build, maintain, and monitor ETL/ELT processes; Troubleshoot and improve performance, scalability, and reliability of data infrastructure; Implement data quality, governance, and security best practices.
Seniority
Senior, hands-on IC
