Nike, Inc.:
Lead Data Engineer - Advanced Analytics Job in Beaverton, VT
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Beaverton, VT
Full-time | Information Technology
About the job
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.
Technology
Nike, Inc. Technology is responsible for making the world’s largest sport brand run faster, smarter and more securely. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Global Technology aggressively innovates solutions to drive growth while creating and implementing tools that help make everything else in the company possible.
DescriptionNike 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, massive batch processing, or stream processing. You will leverage big data, parallel processing technologies, advanced metrics, 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 develop 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 resolve 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 resources
Develop 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
QualificationsWho you are:Experience developing cloud scalable, real time and high-performance data lake solutions
Deep experience with Python, Spark, Shell & SQL
Experience with AWS components and services, particularly EC2, EMR, ECS/EKS, S3 and Lambda/Serverless
Experience writing automation to deploy R (RStudio), Spark ML, and/or Python apps (pandas, numpy, scipy, keras, etc.)
Experience with Container Orchestration (Kubernetis, Docker,etc)
Experience with software engineering best practices including unit testing, continuous integration (Jenkins, CircleCI, etc), and source control (GitHub, Bitbucket,etc)
Experience with workflow scheduling instruments like Airflow
Thorough understanding of statistical modeling and machine learning techniques
Experience building APIs and micro service architecture
Has an excellent problem solving and critical thinking mindset
Demonstrated effective portfolio of accomplishments of learning new tools and technologies
Able to influence and communicate effectively, both verbally and written, with team members
Nice to have:Proficiency with data visualization tools and libraries like Tableau, Shiny, ggplot2
Retail Industry Experience
Experience with Snowflake
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 00444337
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.
Technology
Nike, Inc. Technology is responsible for making the world’s largest sport brand run faster, smarter and more securely. From infrastructure to security and supply chain operations, Technology specialists drive growth through top-flight hardware, software and enterprise applications. Global Technology aggressively innovates solutions to drive growth while creating and implementing tools that help make everything else in the company possible.
DescriptionNike 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, massive batch processing, or stream processing. You will leverage big data, parallel processing technologies, advanced metrics, 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 develop 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 resolve 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 resources
Develop 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
QualificationsWho you are:Experience developing cloud scalable, real time and high-performance data lake solutions
Deep experience with Python, Spark, Shell & SQL
Experience with AWS components and services, particularly EC2, EMR, ECS/EKS, S3 and Lambda/Serverless
Experience writing automation to deploy R (RStudio), Spark ML, and/or Python apps (pandas, numpy, scipy, keras, etc.)
Experience with Container Orchestration (Kubernetis, Docker,etc)
Experience with software engineering best practices including unit testing, continuous integration (Jenkins, CircleCI, etc), and source control (GitHub, Bitbucket,etc)
Experience with workflow scheduling instruments like Airflow
Thorough understanding of statistical modeling and machine learning techniques
Experience building APIs and micro service architecture
Has an excellent problem solving and critical thinking mindset
Demonstrated effective portfolio of accomplishments of learning new tools and technologies
Able to influence and communicate effectively, both verbally and written, with team members
Nice to have:Proficiency with data visualization tools and libraries like Tableau, Shiny, ggplot2
Retail Industry Experience
Experience with Snowflake
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 00444337