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Big Data Engineering Lead

Big Data Engineering Lead

Beaverton | Oregon | United States

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At NIKE, Inc. it's about each person bringing skills and passion to a challenging and constantly evolving game.

NIKE is a technology company. From our flagship website and five-star mobile apps to developing products, managing big data and providing leading edge engineering and systems support, our teams at NIKE Global Technology exist to revolutionize the future at the confluence of tech and sport. We invest and develop advances in technology and employ the most creative people in the world, and then give them the support to constantly innovate, iterate and serve consumers more directly and personally. Our teams are innovative, diverse, multidisciplinary and collaborative, taking technology into the future and bringing the world with it.

Big Data Engineering Lead, Nike Digital Engineering

Become a Part of the NIKE, Inc. Team

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it's about each person bringing skills and passion to a challenging and constantly evolving game.
Do you have a passion for digital technology, innovation and problem solving? Are you curious about how to turn billions of events and signals into meaningful information that not only provides insights into the present but also help predict the future? Are you interested in applying Data Streaming and Big Data Technology along with Machine Learning to help deliver personalized experiences? If so, come join the talented team of engineers that are a driving force behind data engineering solutions at Nike.

MS/BS in Computer Science, or related technical discipline
7+ years of industry experience, 3+ years of relevant big data experience
Strong programming experience, Scala 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 building domain-driven Microservices
Experience provisioning RESTful API's to enable real-time data consumption
Experience in Python or Java
Experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
Experience with SQL and SQL Analytical functions
Experience participating in key business, architectural and technical decisions
Experience designing, estimating and executing for complex software projects
Experience providing guidance and mentoring junior engineers

These are the characteristics that we strive for in our own work. We would love to hear from candidates who embody the same:

• Desire to work collaboratively with your teammates to come up with the best solution to a problem
• Demonstrated experience and ability to deliver results on multiple projects in a fast-paced, agile environment
• Excellent problem-solving and interpersonal communication skills
• Strong desire to learn and share knowledge with others

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.

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