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。

WHO YOU’LL WORK WITH

You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director.  You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives.  You will also engage with other Global Technology functions and teams on organizational and technical goals.

WHO WE ARE LOOKING FOR

We’re looking for a Data Engineer to solve complex software engineering problems supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.

WHAT YOU’LL WORK ON

You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.

  • Demonstrated ability to work effectively in highly collaborative environments

  • Bachelor’s degree in computer science, Engineering, Information Systems, or a related field; equivalent professional experience considered in lieu of a degree

  • Over 3 years of industry experience in data engineering

  • Proficient in SQL, Spark, and Python

  • Practical experience with Databricks, AWS, and Snowflake platforms

  • Solid understanding of data modeling, ETL processes, and data streaming technologies

  • Familiarity with AWS services including Lambda, Step Functions, DynamoDB, Elasticsearch, and S3

  • Experience programming in Java, with knowledge of JavaScript/TypeScript and Node.js

  • Skilled in developing data visualization dashboards using frameworks such as React, Vue.js, or Angular

  • Experienced in API development leveraging REST and GraphQL APIs for data services

  • Strong grasp of microservices architecture and architectural design patterns

  • Comprehensive understanding of CI/CD practices and DevOps responsibilities related to deploying and maintaining production software

  • Knowledgeable in implementing and integrating artificial intelligence, machine learning, and related data solutions

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