Nike, Inc.:
Lead Data Engineer – Demand Sensing, Enterprise Data & Analytics Job in Beaverton, VT

At Nike, we serve athletes. Fueled by the insights of the world's best, we design and create products to elevate human potential on a global scale. And it's on us, the Global Operations Team (GOT), to help bring this mission to life. We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for world-class talent like you to contribute to this journey.Nike is looking for a seasoned engineer who can lead and grow teams of data engineers and developers to support machine learning engineers and data scientists to deliver scalable machine learning and advanced analytics solutions to customers across our business. You will work on a variety of complex business problems such as forecasting, personalization, and inventory optimization. You will productionalize and scale solutions in the cloud as APIs, stream processing, or massive batch processing. You will leverage big data, parallel processing technologies, advanced analytics, machine learning, and deep learning techniques to quantitatively plan product demand, allocate resources, and target the right customers with the best products. You will foster partnerships with best of breed open source communities, commercial vendors, and universities. Above all, your work will accelerate Nike's core mission of serving Athletes*. What you’ll doDesign and build reusable components, frameworks and libraries at scale to support analytics products
Design and implement product features in collaboration with business and Technology stakeholders
Identify and solve issues concerning data management to improve data quality
Clean, prepare and optimize data for ingestion and consumption
Collaborate on the implementation of new data management projects and re-structure of the current data architecture
Implement automated workflows and routines using workflow scheduling tools
Build continuous integration, test-driven development and production deployment frameworks
Collaboratively review design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Analyze and profile data for the purpose of designing scalable solutions
Troubleshoot data issues and perform root cause analysis to proactively resolve product and operational issues 
QualificationsStrong programming experience, Scala and python preferred
Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
Experience handling hundreds of terabytes or petabytes of data
Experience building domain-driven Microservices
Experience provisioning RESTful API’s to enable real-time data consumption
Experience in Java
Experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
Experience building cloud agonistic solution, good knowledge of AWS, Microsoft Azure and other cloud solution.
Demonstrated experience developing distributed systems at scale.
Experience with SQL, Data Modeling and SQL Analytical functions
Experience participating in key business, architectural and technical decisions
Experience designing, estimating and executing for complex software projects










NIKE, Inc. is a growth company that looks for team members to grow with it. Nike offers a generous total rewards package, casual work environment, a diverse and inclusive culture, and an electric atmosphere for professional development. No matter the location, or the role, every Nike employee shares one galvanizing mission: To bring inspiration and innovation to every athlete* in the world.
NIKE, Inc. is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
Job ID: 00408361