成為 NIKE, Inc. 團隊的一員

NIKE, Inc. 不僅為世界傑出運動員提供裝備, 這是一個探索潛能、消弭疆界及超越可能的園地。 公司尋找能夠成長、思考、懷抱夢想與創造的人才, 透過擁抱多元和獎勵想像力,讓文化欣欣向榮。 品牌尋找成就者、管理者以及具有遠見的夢想家。 在 NIKE, Inc.,我們就是要讓每個人都能在面對挑戰性十足且不斷演變進化的賽局中,揮灑熱情並一展所長。

Lead Data Engineer - NIKE USA Inc. - Atlanta, GA. Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology; contribute to overall architecture, frameworks and patterns for processing and storing large data volumes; evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing; drive the implementation of new data projects and the optimization of existing solutions; translate product backlog items into engineering designs and logical units of work; profile and analyze data for the purpose of designing scalable solutions; define and apply appropriate data acquisition and consumption strategies for given technical scenarios; design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem; build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns; implement complex automated routines using workflow orchestration tools; drive collaborative reviews of designs, code, and test plans; work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering standard methodologies are defined and followed; anticipate, identify and tackle issues concerning data management to improve data quality; build and incorporate automated unit tests and participate in integration testing efforts; utilize and advance continuous integration and deployment frameworks; solve complex data issues and perform root cause analysis; collaborate closely with Product team counterparts; work across teams to resolve operational & performance issues; provide work estimates and represent work progress and challenges; identify and remove technical bottlenecks for your engineering squad; and provide leadership, guidance and mentorship to other data engineers. Telecommuting is available from anywhere in the U.S., except from SD, VT, and WV. 

Must have a Bachelor’s degree in Computer Science, Engineering, Information Technology and five (5) years of progressive post-baccalaureate experience in the job offered or in a engineering-related occupation. Experience must include: 

  • Big data system design; 

  • SQL; 

  • Spark; 

  • Airflow 

  • Python 

  • Kafka 

  • Change Data Capture implementation 

  • Data Modeling 

  • Data Architecture 

  • Data Pipeline design 

  • Spark Optimization 

  • Data Security 

  • Continuous Integration and Continuous Deployment 

  • Data Quality framework 

  • Data Observability 

 

Apply at  www.Nike.com/Careers (Job # R-60196) 

LI#DNI

We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.

重要須知

招募策略

01 申請

我們的團隊由多元技能、知識庫、意見、想法和背景組成。 我們希望你找到合適的職位:查看職務說明、部門和團隊,探索適合你的角色。

02 與招募人員會面或進行評估

若獲選擔任公司職務,招募人員會與你聯絡,以展開面試流程,並在整個流程中擔任你的主要聯絡人。 若為 Retail 職務,你將完成包含對談和測驗的互動式評估,完成評估約需 10 至 20 分鐘的時間。 無論是哪個角色,我們都想瞭解你的各種面向,因此請不要避談你如何提供世界級的服務,以及你的與眾不同之處。

03 面試

在進入這個階段時,可先做好研究,瞭解我們在尋找的人才,並為深入瞭解你及相關背景而設定的問題做好準備,自信應對。

兩個人在戶外微笑擁抱