3 Days Left Software Engineer II, ITC

3 weeks ago


India Nike Full time

Job Description

Who You'll 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.
- 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, Java, C# 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.

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.
- Participate in code reviews and contribute to team knowledge sharing.
- Assist in troubleshooting and resolving production issues.



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