SWE 2 Itc

nike india center private

📍 karnataka india india🕐 6d ago🔗 workday

Job 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.
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