Nike

Lead Software Engineer - Data Engineering, ITC

Nike  •  Republic of India (Onsite)  •  3 months ago
Expired
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Job Description

WHO YOU’LL WORK WITH


At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data & AI (DAI) team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making and personalized experiences across the Nike ecosystem.


WHO WE ARE LOOKING FOR


We are looking for an experienced software engineer with a passion for designing and building robust data platforms and solutions. You thrive in a fast-paced, collaborative environment and have a proven track record of delivering scalable and reliable data platforms and services.


Skillset Required

  • 7+ yearsof experience in software development, with a strong foundation in distributed systems, cloud-native architectures, and data platforms.
  • Advanced Knowledge in API services
  • Expertise in CI/CD process.
  • Expertise in big data technologies such asApache Sparkand real-time streaming technologies likeApache Kafka
  • Strong programming skills in Python, Java or similar language
  • Strong Knowledge of SQL.
  • Advanced knowledge of amajor cloud platform (AWS, Azure, GCP)and its ecosystem of data services.
  • Proficiencywith Infrastructure as Code (IaC) tools like Terraform or AWSCloudFormation,Docker, or Kubernetes
  • Strong understanding ofadvanced data modeling techniquesand modern data warehouses and strongMedallion architectureexpertise
  • Ability todesign scalable, fault-tolerant, and maintainable distributed systems
  • Excellent communication and stakeholder management skills.


WHAT YOU’LL WORK ON


What You’ll Do

  • Design, build, deploy, and own complete, scalable, and reliable end to end, software to data platforms and solutions.
  • Lead thetechnical design of new API services, data pipelines, and systems
  • Buildreusable frameworks, libraries, and data management SDKsto improve productivity.
  • BuildData MeshData products with abstraction.
  • Optimize performance andcost-efficiency of Services workload, data workflows and compute layers
  • Collaborate with stakeholders such as data scientists, business analysts, and product managers to understand and translate business requirements intotechnical solutions
  • Providet echnical leadership and mentorshipto junior engineers.
  • Ensure theuptime, reliability, and monitoringof the systems you build and own.
Nike

About Nike

NIKE, Inc. is a purpose-driven organization energized by a shared commitment to move the world forward through the power of sport. We champion diversity and amplify individual passions to bring inspiration and innovation to every athlete* in the world.

Here, every teammate has a role to play. We work together, embracing our differences and pushing boundaries, to achieve collective success. For more information on how you can contribute to a world-class team, visit our career site at nike.com/careers and join our talent community at https://nikeats.avature.net/niketalentcommunity.

Industry
Retail & Ecommerce
Company Size
10,000+ employees
Headquarters
Beaverton, OR
Year Founded
Unknown
Website
nike.com
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