远程工作雷达

高级数据工程师 (Rust)

Senior Data Engineer (Rust)

开发工程限定地区(需当地身份)日间重叠约 2 小时,需偶尔早起或晚睡
公司Nagarro
薪资未公开
工作地点Poland
地域资格限定地区(需当地身份)
时区要求日间重叠约 2 小时,需偶尔早起或晚睡
用工类型Full Time
发布时间今天
数据来源Himalayas
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注意地域限制:该职位明确限定在 Poland 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:日间重叠约 2 小时,需偶尔早起或晚睡。

我们正在寻找一位高级数据工程师,能够主导高吞吐量数据服务、数据摄入流水线和弹性API协议的架构与扩展。利用Rust,你将构建超低延迟、内存高效的数据显示基础设施,并将其无缝集成到企业级云仓库和湖仓平台中。

职责:

  • 主导高吞吐量数据服务和数据摄入流水线的架构与扩展。
  • 使用Rust构建高性能、低延迟的数据基础设施。
  • 设计弹性API、数据协议和模式。
  • 将数据服务与云仓库和湖仓平台集成。
  • 优化分布式数据处理、存储、缓存和查询性能。
  • 推动可扩展数据平台的技术架构和最佳实践。
  • 8年以上软件/数据工程经验。
  • 有在生产环境中交付稳健的分布式系统和大规模数据平台的实际背景。
  • 精通Rust:在Rust中具有扎实的实践经验,能够构建多线程、异步服务,深入理解内存管理和并发模式。
  • 协议驱动的API设计:有使用Protobuf/gRPC、Avro或OpenAPI建立数据协议和模式的丰富经验,包括向后兼容性和模式演进策略。
  • 云与仓库精通:至少精通一个主要云提供商(AWS、GCP、Azure)和一个企业级分析平台的生产环境:
  • Snowflake、Google BigQuery、Databricks(Delta Lake)或AWS Glue/Redshift。
  • 分布式数据基础:对列式存储(Parquet)、分区/聚类、分布式缓存和查询引擎优化有深入理解。

👋🏼 我们是Nagarro。我们是一家正在快速发展的数字产品工程公司!我们打造能激发灵感、令人兴奋并带来愉悦体验的产品、服务和体验。我们在所有设备和数字媒介上进行大规模工作,我们的员工遍布全球(确切地说,39个国家有18000多名专家)。我们的企业文化充满活力且非等级制。我们正在寻找优秀的新人同事。这就是你的机会!在你职业生涯的这个阶段,不仅仅是关于你掌握的技术或编码能力有多好。而是关于你希望用这些知识做更多事情。你能帮助你的团队走上正确的方向吗?你能在面对客户挑战的同时,不断推动我们的解决方案更进一步吗?

查看英文原文

We are looking for a Senior Data Engineer who can lead the architecture and scaling of high-throughput data services, ingestion pipelines, and resilient API contracts. Leveraging Rust, you will build ultra-low-latency, memory-efficient data infrastructure and integrate it seamlessly with enterprise cloud warehouses and lakehouses.
Responsibilities:

  • Lead the architecture and scaling of high-throughput data services and ingestion pipelines.
  • Build high-performance, low-latency data infrastructure using Rust.
  • Design resilient APIs, data contracts, and schemas.
  • Integrate data services with cloud warehouses and lakehouse platforms.
  • Optimize distributed data processing, storage, caching, and query performance.
  • Drive technical architecture and best practices for scalable data platforms.
  • 8+ years of experience in software/data engineering.
  • Proven background delivering robust, distributed systems and large-scale data platforms in production.
  • Production Rust: Strong, hands-on experience building multi-threaded, asynchronous services in Rust, with deep knowledge of memory management and concurrency patterns.
  • Contract-Driven API Design: Extensive experience establishing data contracts and schemas using Protobuf/gRPC, Avro, or OpenAPI, including backward compatibility and schema evolution strategies.
  • Cloud & Warehouse Mastery: Deep expertise in at least one major cloud provider (AWS, GCP, Azure) and production mastery of at least one enterprise analytical platform:
  • Snowflake, Google BigQuery, Databricks (Delta Lake), or AWS Glue/Redshift.
  • Distributed Data Fundamentals: Advanced understanding of columnar storage (Parquet), partitioning/clustering, distributed caching, and query engine optimization.

👋🏼 We're Nagarro. We are a digital product engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18 000+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! By this point in your career, it is not just about the tech you know or how well you can code. It is about what more you want to do with that knowledge. Can you help your teammates proceed in the right direction? Can you tackle the challenges our clients face while always looking to take our solutions one step further to succeed at an even higher level? Yes? You may be ready to join us.
Originally posted on Himalayas

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