Data Engineer LATAM
# Data Engineer LATAM **Onebeat** · Brazil · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Data-Engineering]` `[Data-Infrastructure]` `[ETL-Engineering]` `[Data-Platform-Engineering]` `[Data-Warehouse-Engineering]` `[Data-Engineer]` `[Data-Engineer-Jobs]` `[Data-Engineering-Analyst]` `[Data-Engineering-Positions]` `[Remote-Data-Engineer]` `[Data-Engineering-Specialist]` --- ### About the Role Description We are seeking an experienced Data Engineer. The ideal candidate is self-motivated, a multitasker, and a demonstrated team player. You will be responsible for designing, developing, managing, and maintaining our open-source data platform, including our Data-Lakehouse (S3, Apache Iceberg, and ClickHouse), ETL processes, and orchestration tool (Temporal Workflow). What You Will Do Develop a scalable data platform integrating multiple sources for easy access. Design and enhance data tools (orchestration, governance, Data-Lakehouse, BI, etc.). Ensure smooth operation of data systems for analysts, scientists, and engineers. Optimize data pipelines (ingestion, processing, and output) in a microservices environment. Build, maintain, and monitor ETL/ELT processes and orchestrate workflows using Temporal. Troubleshoot and improve the performance, scalability, and reliability of the data infrastructure (S3, Apache Iceberg, ClickHouse). Collaborate cross-functionally with data scientists, analysts, and backend engineers to understand data needs and deliver solutions. Implement and champion data quality, governance, and security best practices across the platform. Requirements 3+ years of experience as a Data Engineer or in a similar data infrastructure role. Strong proficiency in SQL and hands-on experience with data modeling. Experience with data lake/lakehouse architectures (e.g., Apache Iceberg, S3, or similar). Experience with analytical / columnar databases (e.g., ClickHouse or similar). Experience building and orchestrating ETL/ELT pipelines (e.g., Temporal, Airflow, or similar). Strong programming skills in Python and/or Scala/Java. Experience working within a microservices architecture and cloud environments (AWS preferred). Self-motivated, strong multitasking skills, and a demonstrated team player. Excellent communication skills and the ability to work both independently and collaboratively. Hands-on experience with Apache Spark (or similar technologies) for large-scale data processing. Professional proficiency in written and spoken English. Note: this role is focused on batch data processing (not real-time streaming). Nice to Have Experience working with and contributing to open-source data platforms and tools. Familiarity with BI and visualization tools (e.g., Superset, Looker, Tableau, Metabase, or similar). Experience with containerization and orchestration (Docker, Kubernetes). Experience with infrastructure-as-code and CI/CD practices. Experience with AWS EMR and running Apache Spark workloads in a cloud environment. Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, or similar) to boost engineering productivity. Originally posted on Himalayas
- Data-Engineering
- Data-Infrastructure
- ETL-Engineering
- Data-Platform-Engineering
- Data-Warehouse-Engineering
- Data-Engineer
- Data-Engineer-Jobs
- Data-Engineering-Analyst
- Data-Engineering-Positions
- Remote-Data-Engineer
- Data-Engineering-Specialist
Наблюдалась 2026-09-20, впервые 2026-09-20, источник — Himalayas (JSON API).