NIKE, Inc. 팀에 함께하세요

NIKE, Inc.는 세계 최고의 운동선수들의 복장을 책임지는 것 그 이상의 역할을 합니다. 나이키는 자신의 잠재력을 탐색하고 경계를 없애며 가능성의 영역을 확장할 수 있는 곳입니다. 나이키는 성장하고, 생각하고, 꿈꾸고, 창조할 수 있는 인재를 찾습니다. 나이키의 문화는 다양성을 포용하고 상상력을 장려하며 더욱 발전해갑니다. 우리 브랜드는 성취자, 리더, 선구자를 찾고 있습니다. NIKE, Inc.에서는 모두가 기술과 열정으로 무장하고 끊임없이 변화하는 치열한 게임에 뛰어듭니다.

Job Summary 

We are seeking a highly skilled and motivated Lead Data Engineer to join our data engineering team in Nike’s Consumer Product and Innovation (CP&I) organization. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions. As a Lead Data Engineer, you will play a key role in ensuring that our data products are robust and capable of supporting our Advanced Analytics and Business Intelligence initiatives. You will be reporting to the Engineering Director and be part of a team that will be a driving force in building a cross-capability data foundation, defining and implementing data products to deliver data and AI solutions that drive business growth for Nike. 

 

Key Responsibilities 

  • Lead the design, development, and deployment of scalable data pipelines and architectures. 

  • Collaborate with data scientists, engineers, analysts, product managers and business stakeholders to understand data requirements, translate them into technical specifications and deliver data solutions that drive decision-making. 

  • Mentor and provide technical guidance to junior data engineers, fostering a culture of collaboration, innovation, and continuous improvement. 

  • Develop and enforce best practices for data engineering, including coding standards, data governance, and performance optimization. 

  • Communicate complex technical concepts to non-technical stakeholders, ensuring alignment and understanding across teams. 

  • Participate in code reviews, provide feedback, and contribute to continuous improvement of the team's coding practices. 

  • Design, build, and maintain robust ETL/ELT pipelines, reusable components, frameworks, and libraries to process data from a variety of data sources ensuring data quality and consistency. 

  • Monitor and troubleshoot data pipelines, ensuring high availability and performance. 

  • Implement CI/CD pipelines to automate deployment and testing of data engineering workflows. 

 

Required Qualifications

Technical Expertise: 

  • Proven experience (5+ years) as a Data Engineer, with a focus on Databricks, PySpark, and SQL. 
  • Strong expertise in Apache Spark and distributed computing frameworks, with hands-on experience optimizing Spark jobs for performance and scalability. 

  • Proficiency in SQL, with the ability to write complex queries and perform data transformations. 

  • Experience with Databricks Lakehouse Platform, Medallion architecture and Delta Lake. 

  • Experience working with AWS including data services such as S3 and RDS. 

  • Experience with data modeling, ETL/ELT processes, and data warehousing concepts. 

  • Experience with CI/CD pipelines, version control (Git), and DevOps practices in a data engineering context. 

Leadership & Collaboration:

  • Strong leadership skills with a proven ability to lead and mentor data engineering teams. 
  • Excellent problem-solving skills and the ability to design solutions for complex data challenges. 

  • Effective communication and collaboration skills, with the ability to work cross-functionally and translate technical concepts for non-technical stakeholders. 

 Education:

  •  Bachelor Degree or a combination of relevant education, training and experience

 

Preferred Qualifications: 

  • Familiarity with real-time data processing frameworks such as Apache Kafka, Kinesis, or similar. 

  • Knowledge of Generative AI and Machine Learning pipelines and integrating them into production environments. 

  • Certification in Databricks (e.g., Databricks Certified Data Engineer, Databricks Certified Developer for Apache Spark). 

 

We are committed to fostering a diverse and inclusive environment for all employees and job applicants. 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.

기대할 수 있는 사항

채용 계획

01 지원

나이키 팀은 다양한 기술과 지식, 의견, 아이디어, 배경을 가진 사람들로 구성되어 있습니다. 직무 소개서와 부서, 팀을 살펴보며 내게 맞는 역할을 찾아보세요. 적합한 직무를 찾을 수 있기를 바랍니다.

02 채용 담당자와의 만남 또는 평가 진행

본사 직무에 선발되면 면접 과정을 시작하고자 채용 담당자가 연락을 드립니다. 해당 과정을 진행하는 동안 이 담당자와 주로 연락하게 됩니다. 리테일 직무의 경우 채팅과 퀴즈 등 양방향 평가가 진행되며, 완료하는 데는 약 10~20분이 소요됩니다. 어떤 직무에 지원하시든, 나이키는 여러분에 관한 모든 정보를 듣고 싶습니다. 그러니 여러분이 어떻게 세계 최고 수준의 서비스를 제공할 것인지, 여러분만의 특별함은 무엇인지 주저하지 말고 보여주시길 바랍니다.

03 면접

이 단계를 자신 있게 시작하기 위해 필요한 정보를 조사하고 나이키가 추구하는 요소를 파악해 보세요. 또 여러분과 여러분의 배경에 관해 자세히 알기 위해 고안된 질문에 답할 준비를 갖추세요.

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