Date Posted: 8/20/2018

Expert Data Engineering for Machine Learning and Advanced Analytics


  • Nike, Inc.
  • United States
  • Oregon
  • Portland
  • 0 year(s)
  • Full-Time
  • Not Available
Job Description

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.
DescriptionNike is looking for a seasoned expert 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 doCollaborate with architecture to design and implement end-to-end, enterprise analytics products
Design and implement innovative product features in collaboration with Business and Technology stakeholders
Anticipate, identify and solve enterprise issues concerning data management to improve data quality
Clean, prepare and optimize data for ingestion and consumption in support of large, complex, scalable, end-to-end solutions
Develop strategy and lead the implementation of new data management projects and re- structure of the current data architecture
Create strategy for building and improvement of continuous integration, test-driven development and production deployment frameworks
Define and establish best practices; drive collaborative review of design, code, test plan and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Analyze and profile complex data for the purpose of designing scalable, end-to-end solutions with critical business value
Troubleshoot complex, high risk data issues and perform root cause analysis to proactively resolve product and operational issues
Mentor and develop other data engineers
Continually innovate through building proof of concepts addressing current and future customer needs
QualificationsDemonstrated ability for building cloud scalable, real time and high-performance data lake solutions
In-depth knowledge and experience with Data Engineering essentials such as scripting languages, source control, workflow scheduling, relational and non-relational SQL, and development of complex data solutions
Expert knowledge and experience with a diversity of tools and platforms
Experience with micro service and full stack architecture; strong knowledge of SOA principles
Proven ability to rapidly learn new technologies, developing and implementing proof of concepts
Experience developing terabyte and petabyte solutions
Breadth of knowledge across data analytics and engineering disciplines
Expert understanding of data structures and algorithms
Expert understanding of solution and technical design
Has a strong problem solving and analytical mindset
Able to influence and communicate effectively, both verbally and written, with team members, business stakeholders and leadership
Able to quickly pick up new programming languages, technologies, and frameworks
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 00395050

Job Requirements

Perks

Date Posted: 8/20/2018

Expert Data Engineering for Machine Learning and Advanced Analytics


  • Nike, Inc.
  • United States
  • Oregon
  • Portland
  • 0 year(s)
  • Full-Time
  • Not Available