Software Engineer II, ITC

3 years

0 Lacs

Posted:16 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

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 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.

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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