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,也是一個讓充滿熱情的人們齊聚一堂,共同打造運動未來的地方。我們毫不掩飾自己是誰、追求的目標,並將創新與靈感帶給世界上每一位運動員*。我們在尋找能突破界限、提升我們潛能,並持續帶領我們邁向卓越的運動員,這可能是下一代的風格引領者、場上的主控球員、勇於冒險的開創者,以及凝聚團隊的核心人物。躍躍欲試了嗎?
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.
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。