Position Type
Full Time
Career area
Data
Location
4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India
Job ID
R-80314

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world’s best athletes. It’s a place where passionate individuals come together to create the future of sport. We are unapologetic about who we are and what we’re after—bringing innovation and inspiration to every athlete* in the world. We look for athletes who can push boundaries, elevate our potential and continue leading us to greatness. The next tastemakers, playmakers, risk takers and glue players. Are you game?

WHO YOU’LL WORK WITH

You will be a part of the larger Global Technology organization working on Nike’s internal product tools and report to the team’s Engineering Director. You will work day-to-day with a team of engineers, the team’s Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nike’s business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.

WHO WE ARE LOOKING FOR

We’re looking for a Lead Data Engineer to solve complex software engineering problems

supporting Nike’s pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I;) community. The candidate needs to be highly collaborative with peers, productive in a rapid-paced development setting and have depth of native cloud software engineering experience.

WHAT YOU’LL WORK ON

You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular,



configurable and “API-First” capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.

Experience leading teams in a highly collaborative environment

Bachelor’s degree in computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree

8+ years of hands-on industry data engineering experience

Proficiency in SQL, Spark, Python

Hands-on experience with Databricks, AWS, Snowflake

Demonstrated strength in data modeling, ETL development, and data streaming.

Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3

Demonstrated expertise in Java, with understanding of JavaScript/TypeScript, Node.js

Experience with React, Vue.js, or Angular for data visualization dashboards

Demonstrated expertise in API development using REST/GraphQL APIs for data services

Strong understanding of microservices architecture and architectural design patterns

Experience with CI/CD and leading teams with DevOps responsibilities for deploying and supporting software in production

Experience with implementing and integrating AI,



Machine Learning and related data solutions

NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.

NIKE, Inc. is an equal opportunity employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

What You Can Expect
OUR HIRING GAME PLAN
01 Apply

Our teams are made up of diverse skillsets, knowledge bases, inputs, ideas and backgrounds. We want you to find your fit – review job descriptions, departments and teams to discover the role for you.

02 Meet a Recruiter or Take an Assessment

If selected for a corporate role, a recruiter will reach out to start your interview process and be your main contact throughout the process. For retail roles, you’ll complete an interactive assessment that includes a chat and quizzes and takes about 10-20 minutes to complete. No matter the role, we want to learn about you – the whole you – so don’t shy away from how you approach world-class service and what makes you unique.

03 Interview

Go into this stage confident by doing your research, understanding what we are looking for and being prepared for questions that are set up to learn more about you, and your background.

📌 Lead Data Engineer, ITC (Bengaluru Urban)
🏢 Nike
📍 Bengaluru Urban