成为 NIKE, Inc. 团队的一员
NIKE, Inc. 不仅仅为全球精英运动员提供装备,更致力于集结满怀激情的人共同创造体育运动的未来。我们忠于自我,坚定逐梦,将创新和灵感带给世界上的每一位运动员*。我们致力于寻找敢于突破边界、激发潜能并持续引领我们追求伟大的运动员。新一代潮流引领者、赛场指挥官、冒险家、团队凝聚者,准备好上场了吗?
WHO YOU’LL WORK WITH
This role is part of the Nike’s Customer Data Platform within Marketing Technology. This team works on a variety of data points across Geos from Nike’ experiences, Data Science Models, Transaction Data, Permissions etc which are stitched together to create a rich customer overview that provides the marketers a buffet of options to choose for a marketing activity or build an insight. This team is powered by Data Engineering, Customer Data platform software service and many home grown tools based on cutting edge technologies.
WHO WE ARE LOOKING FOR
We are looking for a Software engineer, to be a part of Nike’s Marketing Technology organization. This position will play a critical role, in developing Nike’s Customer Data platform, which supports and promotes our products and provides a unique user experience to all our customers in 166 countries globally. We are looking for someone to have a strong Data engineering and analytical background with a focus of delivering an omnichannel consumer experience through data driven marketing.
We are looking for a candidate with a strong 2-4 years of experience on working on large datasets and should demonstrate below skills:
Academic background in Computer science (BE or B Tech) or equivalent work
2-4 years of technology related experience
Experience integrating with various Adobe toolset in the marketing space would be a plus – in particular, Adobe Experience Platform (AEP), Adobe Journey Optimizer (JO), Customer Journey Analytics (CJA)
Hands-on experience in Data engineering developing batch and streaming pipeline
Hands on experience on Python, SQL, Data Engineering, and experience with the following tools or similar: Databricks, Airflow, EMR, Hive, Spark
Demonstrated strength in data modelling, ETL development, and data streaming
Knowledge of data management fundamentals and data storage principles
Experience in customizing product solutions
Familiarity with the challenge of moving large files across a geographically dispersed network.
Knowledge of different accelerated transfer methods and technologies
Experience with implementing CI/CD and leading teams with DevOps responsibilities of deploying and supporting the software in production
Experience using cloud services to build an integrated application in production (AWS - EC2, ECS, API gateway, Lambda).
Takes ownership, follows established processes, and understands workflow dynamics to drive quicker, more effective solutions.
Marketing technology experience is a plus
WHAT YOU’LL WORK ON
You will be responsible for driving, owning, and shipping all aspects of large, multi-functional efforts and feature areas. You will partner with engineering teams throughout feature development from architecture, design, implementation, and validation.
Design, and build large datasets, and data pipelines to support building out our new Customer Data Platform (CDP) which will enable advanced segmentation in Customer data platform, that creates unique customer experience targeting, automation, and analytics.
Build complex data pipelines for real time data, Clickstream analysis and work to achieve high-quality data ingestion goals.
The technology stack that you will be working on: Databricks, Spark, Python, Airflow, AWS, EMR.
Innovating, architecting, designing, and implementing highly available, scalable systems, focusing on highly visible marketing initiatives
Contributing ideas for new features and identifying technical areas for improvement proactively
Collaborate with upstream and downstream technical teams to develop integrations to provide a seamless flow of our marketing assets from planning to delivery.
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。