Description :

WHO YOULL WORK WITH :

At Nike, we leverage the power of data and technology to serve athletes- around the world. The Data & AI (DAI) team is at the forefront of this missionbuilding 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.

Skillset Required :

- 3+ years of experience in software development, with a strong foundation in distributed systems and data platforms.

- Proficiency in programming languages such as Python, Java, C# or SQL.

- 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.

- 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.

WHAT YOULL WORK ON :

What Youll Do :

- 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.

- Participate in code reviews and contribute to team knowledge sharing.

- Assist in troubleshooting and resolving production issues.