Lead Data Engineer, ITC

Who Youll Work With
You will be a part of the larger Global Technology organization working on Nikes internal product tools and report to the teams Engineering Director. You will work day-to-day with a team of engineers, the teams Technical Product Manager and Principal Engineers in the organization on software projects to achieve Nikes business objectives. You will also engage with other Global Technology functions and teams on organizational and technical goals.
Who We Are Looking For
Were looking for a Lead Data Engineer to solve complex software engineering problems
supporting Nikes pursuit of delivering state of the art tools to our Consumer Product and Innovation (CP&I) community. The candidate needs to be highly collaborative with peers, productive in a fast-paced development environment and have depth of native cloud software engineering experience.
What Youll Work On
You will be part of and leading a team of engineers building out tooling for our Consumer Product & Innovation team members. We are investing in building modular, configurable and API-First capabilities which will be consumed by modern web applications build with the most recent SPA frameworks. You are expected to help coordinate with other teams and provide guidance and coaching for more junior team members.

• Experience leading teams in a highly collaborative environment
• Bachelors degree in computer science, Engineering, Information Systems, or similar field, or relevant professional experience in lieu of a degree
• 8+ years of hands-on industry data engineering experience
• Proficiency in SQL, Spark, Python
• Hands-on experience with Databricks, AWS, Snowflake
• Demonstrated strength in data modeling, ETL development, and data streaming.
• Experience with AWS products including Lambda, Step Functions, DynamoDB, Elasticsearch, S3

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• Demonstrated expertise in Java, with understanding of JavaScript/TypeScript, Node.js
• Experience with React, Vue.js, or Angular for data visualization dashboards
• Demonstrated expertise in API development using REST/GraphQL APIs for data services
• Strong understanding of microservices architecture and architectural design patterns
• Experience with CI/CD and leading teams with DevOps responsibilities for deploying and supporting software in production
• Experience with implementing and integrating AI, Machine Learning and related data solutions