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.
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.
DescriptionAt Nike, we serve athletes. Fueled by the insights of the world's best, we design and create products to elevate human potential on a global scale. And it's on us, the Global Operations Team (GOT), to help bring this mission to life. We are a diverse lineup of thousands spread across the globe. Together, we are building a smarter, more connected and automated value chain. And we are looking for excellent team members like you to contribute to this journey.Nike has embraced big data technologies to enable thoughtful decisions. We’re looking to expand our Data Engineering team to keep pace. As a Senior Data Engineer, you will work with a variety of talented Nike teammates and be a motivating guide for developing first-class solutions for Nike Technology and its business partners, working on development projects related to supply chain, commerce, consumer behavior and web analytics among others.Role responsibilities:Design and implement data products and features in collaboration with product owners, data analysts, and business partners using Agile / Scrum methodology
Contribute to overall architecture, frameworks and patterns for processing and storing large data volumes
Research, evaluate and utilize new technologies/tools/frameworks centered around high-volume data processing
Evaluation of technical feasibility or risks and conveying that information to the team
Translation of backlog items into engineering design and logical units of work
Profile and analyze data for the purpose of designing scalable solutions
Define and apply appropriate data acquisition and consumption strategies for given technical scenarios
Design and implement distributed data processing pipelines using tools and languages prevalent in the big data ecosystem
Build utilities, user defined functions, libraries, and frameworks to better enable data flow patterns
Implement complex automated routines using workflow orchestration tools
Work with architecture, engineering leads and other teams to ensure quality solutions are implemented, and engineering best practices are defined and adhered to
Anticipate, identify and solve issues concerning data management to improve data quality
Build and incorporate automated unit tests and participate in integration testing efforts
Utilize and advance continuous integration and deployment frameworks
Troubleshoot data issues and perform root cause analysis
Work across teams to resolve operational & performance issues
QualificationsThe following qualifications and technical skills will position you well for this role:MS/BS in Computer Science, or related technical discipline
5+ years of experience in large-scale software development, 2+ years of big data experience
Excellent programming experience, Python or Scala preferred
Experience designing, estimating and executing for complex software projects
Extensive experience with Hadoop and related processing frameworks such as Spark, Hive, Sqoop, etc.
Experience with RDBMS systems, SQL and SQL Analytical functions
Experience with workflow orchestration instruments like Apache Airflow
Experience with source code control instruments like Github or Bitbucket
Experience with performance and scalability tuning
Ability to influence and communicate effectively, both verbally and written, with team members and business stakeholders
Interest in and ability to quickly pick up new languages, technologies, and frameworks
Experience in Agile/Scrum application development
The following skills and experience are also relevant to our overall environment, and nice to have:Experience with Java
Experience working in a public cloud environment, particularly AWS
Experience with cloud warehouse tools like Snowflake
Experience with messaging/streaming/complex event processing tooling and frameworks such as Kinesis, Kafka, Spark Streaming, Flink, Nifi, etc.
Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
Experience building RESTful API’s to enable data consumption
Experience with build tools such as Terraform or CloudFormation and automation resources such as Jenkins or Circle CI
Experience with practices like Continuous Development, Continuous Integration and Automated Testing
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
Deep 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.
Job ID 00437762
Senior Engineer, Data & Analytics
|Required Experience:||0 year(s)|
|Salary Range:||Not available|
Posted 12 days ago