People, Person, Apparel, Clothing

Lead Data Engineer

Lead Data Engineer

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.

Will serve as a driving force for building solutions in Beaverton, OR. Will work on development projects related to consumer behavior, commerce, and web analytics. Will design and build reusable components, frameworks and libraries at scale to support analytics products. Will design and implement product features in collaboration with business and technology stakeholders. Will anticipate, identify and solve issues concerning data management to improve data quality. Will clean, prepare and optimize data at scale for ingestion and consumption. Will drive the implementation of new data management projects and the re-structure of the current data architecture. Will implement complex automated workflows and routines using workflow scheduling tools. Will build continuous integration, test-driven development and production deployment frameworks. Will drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards. Will analyze and profile data for the purpose of designing scalable solutions. Will troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues. Will mentor and develop other data engineers in adopting best practices. Will work with NoSQL data stores, including HBase and DynamoDB. Will work with AWS cloud (EC2, EMR, and S3) and big data streaming services, including SQS, Kinesis, and Kafka. Will build domain-driven Microservices. Will provision RESTful API's to enable real-time data consumption. Will work with Python and Java. Will work with Hadoop, Amazon Web Services, and big data processing frameworks, including Spark, Hive, and Airflow. Will work with relational databases utilize experience with SQL and SQL Analytical functions. Will participate in key business, architectural and technical decisions. Will design, estimate, and execute complex software projects. Will provide guidance and mentor junior engineer. Will travel domestically and internationally five percent or less.

Education: Bachelor's degree in computer science, engineering, or information technology. Will also accept a master's degree in computer science, engineering, or information technology. Experience : A Bachelors degree and five years of experience in big data. Will also Except master's degree in computer science, engineering, or information technology and three years of experience in big data Skills/Requirements: 3 years of experience: (1) big data streaming services, including Kinesis and Kafka; (2) ETL development in a big data environment and working with NoSQL data stores, including HBase and DynamoDB; (3) building domain-driven microservices; (4) provisioning RESTful API's to enable real-time data consumption; (5) working with Python and Java; (6) working with Hadoop, Amazon Web Service, and big data processing frameworks, including Spark, Hive, and Spark-Streaming; (7) working with SQL and SQL Analytical functions; (8) designing, estimating, and executing complex software projects; and (9) providing guidance and mentoring to junior engineers.

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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