If you’ve ever admired how NIKE, Inc. keeps innovating beyond just shoes and apparel, this role might excite you even more. Nike is now hiring a Data Engineer I for its India Technology Center (ITC) in Bangalore, and yes — this is a great opportunity for freshers and early-career professionals who want to grow in data engineering inside a global brand.
This is not just another backend job. You’ll be working on real internal tools that support Nike’s Consumer Product & Innovation (CP&I) teams — the same teams that shape how Nike designs, innovates, and delivers products worldwide.
🏢 About the Company – NIKE, Inc.
Nike is a place where technology, creativity, and innovation come together. Inside Nike’s Global Technology organization, engineers don’t just maintain systems — they build tools that influence how ideas turn into products.
Nike strongly believes in diversity, imagination, and growth. Whether you’re a fresher or someone with a bit of experience, the company encourages learning, collaboration, and long-term career development.
📌 Job Overview (Explained Simply)
- 👨💻 Role: Data Engineer I – ITC
- 🏢 Department: Global Technology / Data
- 📍 Location: Bangalore (Embassy GolfLinks – WeWork)
- 🕒 Job Type: Full Time
- 🆔 Job ID: R-75324
As a Data Engineer I, you’ll help design and maintain data pipelines, support internal applications, and work closely with senior engineers, product managers, and principal engineers. This role focuses on building API-first, modular data solutions that modern web applications depend on.
🛠️ What You’ll Actually Work On
Instead of vague responsibilities, here’s what your day-to-day work may look like:
- 📊 Build and support data pipelines that power internal Nike tools
- 🔄 Work with ETL / ELT workflows and understand how data moves end-to-end
- ☁️ Use cloud platforms like AWS, Azure, Databricks, or Snowflake
- ⚡ Learn and apply Spark or distributed data processing concepts
- 🔌 Integrate data through REST APIs and microservice-based systems
- 🤝 Collaborate closely with engineers, product managers, and architects
Don’t worry if you’re not perfect at everything yet — Nike values learning agility and growth mindset just as much as technical skills.
🎓 Eligibility & Skills (Who Can Apply)
This role is designed for early-career professionals, so the requirements are very reasonable:
- 🎓 Bachelor’s degree in Computer Science, Engineering, Data Science, or related fields
- 📅 1–2+ years of experience (freshers with strong fundamentals can also try)
- 🧮 Good understanding of SQL for querying and data handling
- 🐍 Basic working knowledge of Python for scripting and automation
- ⚙️ Exposure to Spark or similar big-data frameworks
- ☁️ Familiarity with any major cloud platform
- 🔧 Knowledge of Git, CI/CD concepts, and DevOps basics
- 📈 Awareness of data modeling, streaming, and dashboards
👉 Extra Plus: Any exposure to React, Angular, or Vue.js is a bonus but not mandatory.
🧠 Interview & Preparation Tips
If you’re a fresher or early-career engineer, don’t panic. Nike usually looks for:
- ✔️ Strong fundamentals (SQL, Python basics, data flow understanding)
- ✔️ Clear thinking and problem-solving approach
- ✔️ Willingness to learn and collaborate
Before applying, revise:
- 📌 SQL joins, aggregations, and basic optimization
- 📌 Python data handling (lists, dictionaries, simple scripts)
- 📌 What ETL pipelines are and why they matter
- 📌 Basic cloud concepts (storage, compute, pipelines)
🚀 Career Growth at Nike
Nike is a growth-focused company. Starting as a Data Engineer I can lead to roles like:
- ➡️ Data Engineer II / Senior Data Engineer
- ➡️ Platform or Analytics Engineer
- ➡️ Technical Lead roles within Global Technology
You’ll also gain exposure to large-scale systems, modern tools, and global teams — experience that stays valuable throughout your career.
📝 How to Apply (Free & Official)
Nike applications are completely free and handled only through the official careers website. No agents, no registration fees.
👉 Take your time, apply with a clean resume, and don’t underestimate yourself. Opportunities like this are meant for learners, not perfectionists.
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