成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅仅是为全球顶尖运动员提供装备,更是一个发掘潜力、突破边界、创造无限可能的地方。我们致力于寻找善于成长、思考、梦想和创造的人才。我们的企业文化因拥抱多元化、鼓励想象力而蓬勃发展。Nike 寻觅奋斗者、领导者和梦想者的加入。NIKE, Inc. 员工以出色的专业技能迎接挑战,满怀激情地投身于不断变化的行业发展之中。
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
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.
我们的招聘策略
01 申请
我们的团队拥有多元化的技能组合、知识库、意见、想法和背景。 希望你能找到适合自己的职位,因此请查看职位描述、部门和团队,找到适合你的职位。
02 与招聘人员会面或进行评估
如果被选中担任公司职位,招聘人员将会联系你开启面试流程,并在整个过程中担任你的主要联系人。 如果是零售职位,你需要完成互动式评估,包括聊天和测验,用时约 10 到 20 分钟。 无论担任什么职位,我们都希望充分了解你。因此,请尽情展现你如何提供世界一流的服务以及你的独特之处。
03 面试
从容开启这一阶段,做好充分调查,了解候选人标准并根据个人情况和背景准备可能会被问到的问题。
