远程工作雷达

数据湖屋/BI 专员 - 全程远程 - 以美元支付的员工

Data Lakehouse/BI Specialist - FULLY REMOTE - Employee in USD

开发工程限定地区(需当地身份)
公司goPro Consultancy Group ltd.
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Contractor
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。

Category: IT Services

Location:

为纽约的国际组织,我们急需招聘一名远程 Data Lakehouse/BI 专家。候选人应为有经验的实战型 Data Lakehouse 专家,有在敏捷环境中工作的经历。理想情况下,候选人应有设计和实施 Data Lakehouse 架构的实际经验。

候选人需英语流利。所有职位均为长期职位。该职位接受承包商和正式员工。

候选人需能够在纽约当地时间正常工作时间每天工作4-6小时。

任务和职责:

  • 与敏捷团队合作,设计和实施 Data Lakehouse 架构和 BI 模型;
  • 将设计规范和功能需求转化为 Data Lakehouse 架构和 BI 模型;
  • 从 MongoDB 导入、转换和加载数据到 Data Lakehouse;
  • 开发并实现数据可视化和交互式仪表板;
  • 合并代码到共享仓库,验证代码并进行质量保证;
  • 实现基于 BI 的仪表板报告,生成并分享洞察;

简介:

  • +2 年使用 AWS BI 和 Data Lakehouse 工具的经验;
  • 有设计和实施 Data Lakehouse 的经验;
  • 有设计和实施 BI 数据可视化和交互式仪表板的经验;
  • 有使用 Kafka 或其他类似的大规模消息技术的经验;
  • 有实现基于 BI 的仪表板报告的经验;
  • 有 MEAN 堆栈框架经验者优先;
  • 熟悉 SDLC 和 Agile/Scrum 流程、CI/CD 和自动化;

待遇:

  • 为纽约的国际组织提供具有挑战性的职位;

有意者:请将简历发送至

详情最初发布于 Himalayas

查看英文原文

Category: IT Services

Location:

For an international organization in New York, we are urgently looking for a REMOTE Data Lakehouse/BI Specialist. Candidates should be an experienced hands-on data lakehouse specialist with a history of working in an agile environment. Ideally, candidates should have hands on experience in designing and implementing data lakehouse architecture.

Candidates need to be fluent in English. All positions are long-term. This position is open for contractors and employees.

Candidates need to be able to work 4-6 hours per day in the normal office hours of New York, US.

Tasks and responsibilities:

  • Work with an agile team to design and implement data lakehouse architecture and BI models;
  • Translate design specifications and functional requirements into data lakehouse architecture and BI models;
  • Data import, transformation and loading to data lakehouse from MongoDB;
  • Develop and implement data visualization and interactive dashboards;
  • Merge code into shared repositories, validate code, and perform quality assurance;
  • Implement BI-based dashboard reporting to generate and share insights;

Profile:

  • +2 years of experience working with AWS BI and data lakehouse tools;
  • Experience designing and implementing data lakehouse;
  • Experience designing and implementing BI data visualization and interactive dashboards;
  • Experience with Kafka or other similar large-scale messaging technologies;
  • Experience implementing BI-based dashboard reporting;
  • Experience with MEAN stack framework is an advantage;
  • Knowledge and understanding of SDLC and Agile/Scrum procedures, CI/CD and Automation;

Offered:

  • A challenging role for an international organization in New York;

Interested: Please send your CV to

DetailsOriginally posted on Himalayas

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