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

This role is part of the Nike’s Content Technology team within Consumer Product and Innovation (CP&I) organization, working very closely with the globally distributed Engineering and Product teams. This role will roll up to the Director Software Engineering based out of Nike India Tech Centre.

WHO WE ARE LOOKING FOR

We are looking for experienced Technology focused and hands on Lead Engineer to join our team in Bengaluru, India.

As a Senior Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Data Engineering and Business Intelligence initiatives.

  • A data engineer with 2+ years of experience in data engineering.
  • Proficient in SQL, Python, PySpark, and Apache Airflow (or similar workflow management tools).
  • Hands-on experience with Databricks, Snowflake, and cloud platforms (AWS/GCP/Azure).
  • Good understanding of Spark, Delta Lake, Medallion architecture, and ETL/ELT processes.
  • Solid data modeling and data profiling skills.
  • Familiarity with Agile methodologies (Scrum/Kanban).
  • Awareness of DevOps practices in data engineering (automated testing, security administration, workflow orchestration)
  • Exposure to Kafka or real-time data processing
  • Strong communication and collaboration skills.
  • Preferred:
    • familiarity with Tableau or similar BI tools
    • exposure to GenAI/ML pipelines
  • Nice to have: Databricks certifications for data engineer, developer, or Apache Spark.

WHAT YOU’LL WORK ON

  • Build and maintain ETL/ELT pipelines and reusable data components.
  • Collaborate with peers and stakeholders to gather data requirements.
  • Participate in code reviews and contribute to quality improvements.
  • Monitor and troubleshoot data pipelines for performance and reliability.
  • Support CI/CD practices in data engineering workflows.
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