- Location
- INDIA TECHNOLOGY CENTER
- Type
- Full-time
- Department
- Engineering
- Experience
- 3+ years
- Source
- Workday
Description
WHO YOU’LL WORK WITH
At Nike, we leverage the power of data and technology to serve athletes* around the world. The APEX 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 a skilled software engineer with a passion for building and maintaining data platforms. You thrive in a collaborative environment and have a proven track record of delivering reliable software.
3+ 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 RDS, Azure SQL, or GCP Cloud SQL, Apache Spark and Apache Airflow.
Proficiency in programming languages such as Python, JavaScript, Java, Go, or C++.
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.
A strong familiarity and development experiences with agentic workflow and AI/LLM powered enterprise applications
Strong problem-solving and analytical thinking skills.
Excellent communication and collaboration skills.
WHAT YOU’LL WORK ON
Design, develop, and maintain scalable data platforms and services.
Develop SDKs, APIs, and microservices to support enterprise-wide data and analytics needs.
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.
Development of agentic and AI/LLM powered enterprise applications
Participate in code reviews and contribute to team knowledge sharing.
Assist in troubleshooting and resolving production issues.
