远程工作雷达

高级数据工程师

Senior Data Engineer

开发工程限定地区(需当地身份)
公司Ex Parte
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
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 United States 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。

你将加入一个负责AI自助门户及相关微服务的团队。你将与跨职能工程团队合作,为我们的数据平台做出贡献。该职位还提供了根据你的兴趣和经验,向后端或ML/AI方向发展的机会。
在此职位中,你将:

  • 直接与产品负责人和数据专家合作,构建解决复杂客户问题的产品
  • 构建并支持一个分布式平台,支持所有ExParte的数据
  • 在我们的产品上工作,主要集中在数据管道上
  • 直接与内部团队对接
  • 评估软件和实现方案,并为技术团队记录下来
  • 与数据分析师合作,收集关于可能的数据收集效率的见解,并识别手动工作流程的自动化潜力
  • 在程序设计和开发中应用最佳定性实践
  • 加入一个分布式的团队(我们在北美和欧洲)
  • 使用Azure云和Databricks
  • 开发技术架构和具体实现以满足业务需求

要求:

  • 熟悉Spark、Python或Scala,3年以上经验
  • 3年以上关系型数据库和T-SQL经验
  • 3年以上NoSQL和数据湖经验
  • 熟悉map/reduce编程模型
  • 能够编写生产级代码
  • 深入了解数据库模式设计、优化和可扩展性
  • 有使用Azure或AWS云服务导向架构的经验
  • 熟悉测试金字塔(单元测试、集成测试、黑盒测试、服务测试)
  • 有在Agile/Scrum环境中工作的经验
  • 强大的分析和解决问题的能力
  • 良好的时间管理和组织能力
  • 能够在独立或团队环境中处理具有挑战性的问题
  • 能够快速学习和适应新技术和环境
  • 良好的沟通能力

加分项:

  • 有Databricks或Azure ML经验
  • 有应用机器学习算法解决复杂数据挖掘问题的经验
  • 有JavaScript/Typescript、HTML5和CSS3经验
  • 有.NET core和entity framework core经验
  • 有Power BI Embedded经验
  • 了解云平台和供应商,特别是Microsoft Azure
  • 了解Azure DevOps中的CI/CD工具
  • 计算机科学、工程、数学或相关领域的学士学位
查看英文原文

You’ll be part of a team that owns the AI self-service portal and the related set of microservices. You’ll work with a cross-functional team of engineers to contribute to our data platform. The role also offers the opportunity to grow into either more back-end or ML/AI work depending on your interests and experience.
In this role, you can expect to:

  • Work directly with product owners and data experts to build products that solve to solve complex client problems
  • Build and support a distributed platform supporting all ExParte data
  • Work across our product, primarily on the data pipelines
  • Interface directly with internal teams
  • Evaluate software and implementation options and document them for technical teams
  • Work with data analysts to collect insight on possible data collection efficiencies and identify automation potential for manual workflows
  • Integrate best qualitative practices in program design and development.
  • Be a part of a distributed team (we’re in North America and Europe)
  • Work with Azure cloud and Databricks
  • Develop technical architectures and specific implementations to meet business needs.

Requirements:

  • 3+ Knowledge of Spark, Python, or Scala
  • 3+ years experience with RDBMS and T-SQL.
  • 3+ years experience with NoSQL and DataLakes.
  • Strong familiarity with map/reduce programming models
  • Proficiency in writing production-quality code
  • Deep expertise in database schema design, optimization, and scalability
  • Experience with Azure or AWS cloud-based service-oriented architecture
  • Solid understanding of testing pyramid (unit, integration, black box, service)
  • Experience working in an Agile/Scrum environment
  • Strong analytical and problem-solving skills
  • Good time management and organizational skills
  • Ability to work on challenging issues independently or in a team environment
  • Ability to learn and adapt quickly to new technologies and environments
  • Strong communication skills
  • Nice-to-have's:
  • Experience with Databricks or Azure ML
  • Experience applying machine learning algorithms to solve complex data mining problems
  • Experience with JavaScript/Typescript, HTML5, and CSS3
  • Experience with .NET core and entity framework core.
  • Experience with Power BI Embedded
  • Understanding of cloud platforms and providers, specifically Microsoft Azure
  • Knowledge of CI/CD tools in Azure DevOps
  • Bachelor's Degree in Computer Science, Engineering, Mathematics or related field

All your information will be kept confidential according to EEO guidelines.
Ex Parte provides our customers with the data and insight to make smart and informed decisions on the most important legal issues facing their organizations.
We are is looking for talented, enthusiastic senior data engineers who share our passion for big data, AI, and machine learning and are excited by seemingly-impossible challenges. As an early employee, you must be amazingly entrepreneurial and thrive in a fast-paced environment where the solutions aren’t predefined.
Every year, corporations spend more than $250B on litigation in the United States alone. And yet, critical decisions such as whether to litigate or settle, or where to file suit or which attorney to hire, are all made the same way they were 100 years ago.
We are applying artificial intelligence, machine learning, and natural language processing to provide our customers with the insight they need to make highly informed decisions and gain a winning advantage. Think of it like Moneyball, but for a market more than 20x the size of Major League Baseball.
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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