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) (via careerplan.io/jobs/0A-000-27-E6B-data-engineer-latam)
Builds
Scalable data platform integrating multiple sources, ETL/ELT pipelines, and data lakehouse infrastructure.
Domain
Data Engineering / Cloud Infrastructure
Required skills
SQL, Python, Apache Spark, Apache Iceberg, S3, ClickHouse, ETL/ELT orchestration, Microservices architecture, Cloud environments (AWS)
Preferred skills
Scala/Java, Docker, Kubernetes, Infrastructure-as-code, CI/CD, AWS EMR, BI tools (Superset, Looker, Tableau, Metabase), Open-source contributions, AI-assisted development tools
Technologies
S3, Apache Iceberg, ClickHouse, Apache Spark, AWS, Docker, Kubernetes, Python, Scala, Java
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 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
