Nike Software Engineer II ITC 

India, Karnataka, Bengaluru 

433430192

WHO YOU’LL WORK WITH

This role sits at the intersection of Data Platforms (Snowflake, Databricks, Teradata, Trino) and AI-driven innovation helping to drive cutting-edge advancements in both analytics and intelligent automation.

Key Skills & Traits:

• 5-7 years of experience in designing, building, and optimizing data platforms at scale.

• Deep technical expertise in Databricks, Snowflake, Teradata, Trino, and cloud-native data architectures.

• Strong programming skills in Python, SQL, and automation frameworks.

• Knowledge in AI/ML, GenAI (LLMs, OpenAI, Azure AI), and AI-powered automation.

• Solid understanding of data governance, security, and performance optimization.

• Passion for leveraging AI to enhance automation, efficiency, and analytics

• Proficiency in Python, SQL, and cloud services (AWS, GCP, Kubernetes, Terraform, Docker, CI/CD pipelines).

• Experience in building high-performance, scalable, and secure data platforms, ensuring optimal cost, reliability, and governance.

• Hands-on experience in data modelling, ELT/ETL pipelines, data lake architecture, and performance optimization.

• Strong collaboration, problem-solving, and leadership skills, with the ability to drive initiatives across multiple teams.

WHAT YOU’LL WORK ON

Core Data Platform Responsibilities:

• Architect, build, and optimize Snowflake, Databricks, and Teradata platforms to ensure high performance, scalability, and cost-efficiency.

• Design and implement advanced data modelling, warehousing, and analytics solutions.

• Develop and manage ETL/ELT pipelines, leveraging modern data frameworks and cloud technologies.

• Lead efforts in data governance, security, access control, and compliance standards.

• Implement observability, performance tuning, and automated monitoring for data platforms.

AI-Driven Enhancements & Automation:

• Integrate AI-powered automation into data pipelines, enabling self-healing, anomaly detection, and predictive optimizations.

• Build GenAI-powered chatbots and AI agents to improve self-service analytics and platform intelligence.

• Enhance data intelligence capabilities using LLMs, RAG (Retrieval-Augmented Generation), and AI-powered search.

• Drive AI-driven cost optimization, ensuring efficient resource utilization across cloud platforms.

• Evangelize AI adoption in data engineering, helping Nike teams unlock new automation opportunities.