Lead Engineer, Data & Analytics

Beaverton Oregon
Required Experience: 0 year(s)
Employment Type: Full-Time
Salary Range: Not available
Posted 7 days ago
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 embracing Big Data technologies to enable data-driven decisions. We’re looking to expand our Hadoop Engineering team to keep pace. As a lead engineer, you will work with a variety of talented Nike teammates and be a driving force for building solutions for Nike Technology. You will be working on development projects related to consumer behavior, commerce, and web analytics.DATA ENGINEER RESPONSIBILITIESDesign 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 
Anticipate, identify and solve issues concerning data management to improve data quality
Clean, prepare and optimize data at scale for ingestion and consumption
Drive the implementation of new data management projects and re-structure of the current data architecture
Implement complex automated workflows and routines using workflow scheduling tools 
Build continuous integration, test-driven development and production deployment frameworks
Drive collaborative reviews of 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 complex data issues and perform root cause analysis to proactively resolve product and operational issues
Mentor and develop other data engineers in adopting best practices
QualificationsAdvanced experience building cloud scalable, real time and high-performance data lake solutions leveraging AWS, EMR, S3, Hive & Spark 
Experience with relational SQL
Experience with scripting languages such as Shell, Python 
Experience with source control tools such as GitHub and related dev process
Experience with workflow scheduling tools like Airflow
In-depth understanding of micro service architecture
Strong understanding of developing complex data solutions
Experience working on end-to-end solution design
Able to lead others in solving complex problems by taking a broad perspective to identify innovative solutions 
Willing to learn new skills and technologies
Has a passion for data solutions 
Strong understanding of data structures and algorithms
Strong 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 and business stakeholders
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 00403958