出海雷达

数据工程师

Data Engineer

开发工程限定地区(需当地身份)
公司Brompton Associates Pte 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Full Time
发布时间12 天前
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。

Data Engineer
我们的客户是一家全球领先的石油化学生产商,正在积极寻找一名数据工程师。该职位将负责跨业务部门协作,与异构数据源合作,构建、管理和优化数据管道以最大化业务价值。数据工程师还将确保符合数据治理和数据安全要求。

职责

  • 与相关利益相关者紧密合作,推广数据管理,快速设计、构建并嵌入数据管道
  • 设计和维护数据模型以支持业务分析
  • 利用现代数据和分析工具推动自动化,从多个源系统开发可重复的数据集成和数据准备流程,导入我们的数据湖和企业数据仓库系统
  • 维护数据管道,确保持续采用自动化和最佳实践
  • 与利益相关者合作,理解业务问题,并支持整合多种数据集以支持数据科学和高级分析活动

要求

  • 计算机科学、信息系统或相关专业的学士或硕士学位
  • 5年以上数据管理领域经验,包括数据仓库概念和数据建模经验
  • 在使用 Talend 和 Azure Data Lake 构建和优化数据管道、管道架构和集成数据集方面有丰富经验
  • 有使用 Snowflake 构建数据仓库/数据集市的经验,以及使用来自 SAP、制造或研究系统的数据的经验是加分项,但非必需
  • 对流行的开源和商业数据科学工具和平台(如 Python 和 Azure ML)有基本了解是优势
  • 有在虚拟团队中工作的经验,自我驱动,有意愿在远程环境中主动承担任务并完成工作
  • 注重细节,严格关注细节,并能够快速发现和解决问题

Originally posted on Himalayas

查看英文原文

Data Engineer
Our client, a world leading petrol chemical producer is actively looking for a Data Engineer. The incumbent will be responsible for collaborating across the business and working with heterogenous data sources to build, manage and optimise data pipelines to maximise the business value. The Data Engineer will also ensure compliance with data governance and data security requirements.
Responsibilities

  • Collaborate closely with relevant stakeholders to evangelise data management and rapidly design, build and embed data pipelines
  • Design and maintain data models to support business analytics
  • Drive automation using modern data and analytical tools to develop repeatable data integration and data preparation flows from multiple source systems into our data lake and enterprise data warehouse systems
  • Maintain data pipelines ensuring on-going adoption of automation and incorporation of best practice
  • Work alongside with stakeholders to understand business problems and support the integration of diverse data sets to support data science and advanced analytics activities

Requirements

  • Bachelor's or Master's degree in Computer Science, Information Systems, or equivalent discipline
  • 5+ years of experience in a Data Management discipline including experience in data warehousing concepts and data modelling
  • Strong experience working with heterogeneous datasets in building and optimizing data pipelines, pipeline architectures and integrated datasets using Talend and Azure Data Lake
  • Experience of working with Snowflake to build data warehouses / data marts, and experience of working with data from SAP, manufacturing, or research systems is strong plus but not required/compulsory
  • Basic understanding of popular open-source and commercial data science tools and platforms such as Python and Azure ML is an advantage
  • Experience working in a virtual team setting and self-driven with desire to take the lead and drive tasks to completion in a remote environment
  • Detail-oriented and strict attention to details and the ability to quickly spot and fix problems

Originally posted on Himalayas

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