NIKE is actively hiring for the role of Data Engineer I, ITC. This is an exciting opportunity for B.E / B.Tech / B.Sc graduates with 1 to 2+ Years of experience to join NIKE’s Global Technology organization in Bangalore. If you have foundational proficiency in SQL, Python, and Cloud Platforms, check the details below and apply immediately.
Job Overview
- Role: Data Engineer I, ITC
- Location: Bangalore, Karnataka
- Experience: 1 – 2+ Years
- Qualification: B.E / B.Tech / B.Sc (CS/Data Science)
- Key Skills: SQL, Python, Spark, Cloud (AWS/Azure), ETL
- Job Type: Full-time
- Salary: Best in Industry
Job Description
For the NIKE Recruitment 2026 drive, the team is looking for a Data Engineer to solve complex software engineering problems. You will be part of a team building modular, configurable, and “API-First” capabilities consumed by modern web applications.
You will work on NIKE’s internal product tools, collaborating with Technical Product Managers and Principal Engineers. The role requires a blend of Data Engineering and Software Development skills to support the Consumer Product & Innovation community.
Roles and Responsibilities
As a Data Engineer I at NIKE, your key responsibilities will include:
- Data Engineering: Designing and implementing data pipelines using SQL and Python.
- Big Data Processing: Using Spark or similar distributed frameworks for parallel computing.
- Cloud Infrastructure: Working with cloud platforms like AWS, Azure, Databricks, or Snowflake.
- API Development: Developing and integrating REST APIs and data services within a microservices architecture.
- DevOps: Applying CI/CD concepts and using version control systems like Git.
- Collaboration: Coordinating with other teams and providing guidance to junior team members.
Skills and Eligibility Criteria
To be eligible for NIKE Recruitment 2026, candidates must meet the following criteria:
- Educational Background: Bachelor’s degree in Computer Science, Engineering, Data Science, or related field.
- Experience: 1 – 2+ years of hands-on experience in data engineering or software development.
- Mandatory Technical Skills:
- Foundational proficiency in SQL (Querying/Manipulation).
- Basic working knowledge of Python (Processing/Scripting).
- Exposure to Spark and Big Data concepts.
- Familiarity with at least one Cloud Platform (AWS/Azure/Snowflake).
- Understanding of ETL/ELT processes and Data Modeling.
- Preferred Skills (Bonus):
- Experience with web frameworks like React, Vue.js, or Angular (Dashboard design).
- Knowledge of Real-time data processing and streaming technologies.