数据工程师，拉美地区
Data Engineer LATAM
开发工程限定地区（需当地身份）与中国几乎无重叠，需长期倒时差
公司Onebeat
薪资未公开
工作地点Brazil
地域资格限定地区（需当地身份）
时区要求与中国几乎无重叠，需长期倒时差
用工类型Full Time
发布时间今天
数据来源Himalayas
注意地域限制：该职位明确限定在 Brazil 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
作息提示：与中国几乎无重叠，需长期倒时差。
Description
我们正在寻找一位经验丰富的数据工程师。理想的候选人应具备自我驱动力，能够同时处理多项任务，并有良好的团队合作经验。您将负责设计、开发、管理和维护我们的开源数据平台，包括我们的数据湖仓（S3、Apache Iceberg 和 ClickHouse）、ETL 流程以及编排工具（Temporal Workflow）。
What You Will Do
- 开发一个可扩展的数据平台，整合多个数据源以便于访问。
- 设计和优化数据工具（编排、治理、数据湖仓、BI 等）。
- 确保数据分析、科学和工程团队的数据系统顺畅运行。
- 在微服务环境中优化数据管道（摄入、处理和输出）。
- 使用 Temporal 构建、维护和监控 ETL/ELT 流程并编排工作流。
- 排查并提升数据基础设施（S3、Apache Iceberg、ClickHouse）的性能、可扩展性和可靠性。
- 与数据科学家、分析师和后端工程师跨职能协作，理解数据需求并提供解决方案。
- 在整个平台上实施并推广数据质量、治理和安全的最佳实践。
Requirements
- 3 年以上数据工程师或类似数据基础设施相关岗位的经验。
- 精通 SQL，并有数据建模的实际经验。
- 有数据湖/湖仓架构经验（如 Apache Iceberg、S3 或类似技术）。
- 有分析型/列式数据库经验（如 ClickHouse 或类似技术）。
- 有构建和编排 ETL/ELT 流程的经验（如 Temporal、Airflow 或类似工具）。
- 精通 Python 和/或 Scala/Java 编程。
- 有在微服务架构和云环境（AWS 优先）中工作的经验。
- 自我驱动，具备强大的多任务处理能力，并有良好的团队合作经验。
- 优秀的沟通能力，能够独立工作并协同合作。
- 有使用 Apache Spark（或类似技术）进行大规模数据处理的实际经验。
- 具备英语书面和口语的专业水平。
- 注意：该职位专注于批处理数据（非实时流处理）。
Nice to Have
- 有参与开源数据平台和工具的经验和贡献。
- 熟悉 BI 和可视化工具（如 Superset、Looker、Tableau、Metabase 或类似工具）。
- 有容器化和编排经验（Docker、Kubernetes 等）。
查看英文原文
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
本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。
本站只做信息聚合展示，不参与招聘流程，也不向求职者收取任何费用。
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开发工程限定地区（需当地身份）与中国几乎无重叠，需长期倒时差