Big Data Engineer

Company: Feed 8
Location: Vancouver
Posted on: June 12, 2021

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, 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.

Nike, Inc., Beaverton, OR. Develop, configure, and test programs, systems and solutions in order to meet defined digital product specifications and direction. Duties include: solve complex problems and work on new perspective on existing solutions; develop and program computer software applications using various components of the Big data ecosystem; work from start to finish on life cycles projects; analyze and design system, which includes preparation of process flow diagrams, entity relationship diagrams, file design, program specifications and design document; identify deficiencies, troubleshoot problems and support user needs on test planning, defect tracking for software applications; and interpret customer needs, assess requirements and identify solutions to non-standard requests.

Applicant must have a Master's degree in Computer Science, Engineering, Computer Information Systems, Electronics Engineering, or related technical field and 2 years of experience in the job offered or a related occupation. Experience must include:

* Hadoop & big data ecosystem tools; * Hive, Spark, HBase, Nifi, Elasticsearch, Kibana, Splunk and Kafka; * Delivery of data products in various programming languages, such as Python, Scala, and Golang; * AWS Lambda, Kinesis, EMR, DynamoDB, VPC, and microservices; * Jenkins, Docker, Kubernetes, and Git; * Leverage tools/frameworks, like SignalFx, Splunk, New Relic, Slack and PagerDuty; and * APIs, Domain Microservices, and REST/gRPC protocols.

OR

Employer will accept Bachelor's degree in Computer Science, Engineering, Computer Information Systems, Electronics Engineering, or related technical field and 5 years of experience in the job offered or a related occupation. Experience must include:

* Hadoop & big data ecosystem tools; * Hive, Spark, HBase, Nifi, Elasticsearch, Kibana, Splunk and Kafka; * Delivery of data products in various programming languages, such as Python, Scala, and Golang; * AWS Lambda, Kinesis, EMR, DynamoDB, VPC, and microservices; * Jenkins, Docker, Kubernetes, and Git; * Leverage tools/frameworks, like SignalFx, Splunk, New Relic, Slack and PagerDuty; and * APIs, Domain Microservices, and REST/gRPC protocols.

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.

Career area: Technology

Keywords: Feed 8, Vancouver , Big Data Engineer, Other , Vancouver, Washington