Position Type
Full Time
Career area
Software Engineering
Location
4/F, WeWork, Embassy GolfLinks, Karnataka, Karnātaka 560093, India
Job ID
R-85752
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
At Nike, we leverage the power of data and technology to serve athletes* around the world. The Data Foundation team is at the forefront of this mission—building scalable, secure, and intelligent platforms that power decision-making across Nike’s global supply chain and planning ecosystem.
WHO WE ARE LOOKING FOR
We are looking for a skilled software engineer with a passion for building and maintaining data solutions. You thrive in a collaborative environment and have a proven track record of delivering reliable software.
Skillset Required
2-4 years of experience in software development, with a strong foundation in distributed systems and data platforms.
Deep expertise with cloud platforms like AWS, Azure, or GCP.
Hands-on experience with Databricks, Snowflake, AWS EMR, AWS RDS, Azure SQL, or GCP Cloud SQL, Apache Spark, Databricks Workflow and Apache Airflow.
Proficiency in programming languages such as Python or SQL.
Strong understanding of Lakehouse architecture, Data Mesh principles, data governance frameworks, and modern data pipelines.
Proven ability to deliver high-impact, API-first services at scale.
Proficiency with tools like Terraform or AWS CloudFormation is critical for managing cloud infrastructure programmatically, ensuring consistency, and enabling automation.
Strong problem-solving and analytical thinking skills.
Excellent communication and collaboration skills.
Good hands on experience in observability and Data quality
Skillset Preferred (Good to Have)
Basic understanding of Machine Learning and Generative AI concepts
Exposure to LLMs (Large Language Models) and their applications (data cataloging, data schematic layer, data enrichment, etc.)
Familiarity with prompt engineering techniques and evaluation
Experience or exposure to AI frameworks/libraries, Agentic AI such as LangChain, OpenAI APIs, or similar
Understanding of RAG (Retrieval-Augmented Generation) patterns and vector databases is a plus
Awareness of AI guardrails, responsible AI, and data privacy considerations
WHAT YOU’LL WORK ON
What You’ll Do
Design, develop, and maintain scalable data solutions.
Develop and maintain data pipelines and services.
Write clean, maintainable, and well-tested code.
Implement best practices in software development, data governance, and platform observability.
Collaborate with senior engineers and other team members to design and implement data solutions.
Ensure data quality and reliability through testing and validation.
Participate in code reviews and contribute to team knowledge sharing.
Assist in troubleshooting and resolving production issues.
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.
