Lead Hadoop Engineer - Consumer Digital Technology - Nike - Portland

Job description
Become a Part of the Nike Team
Nike does more than outfit the world's best athletes. We are a place to explore potential, obliterate boundaries, and push out the edges of what can be. We're looking for people, who can grow, think, dream and create. We thrive in a culture that embraces diversity and rewards imagination. We seek achievers, leaders and visionaries. At Nike, it's about bringing what you have to a challenging and constantly evolving game.


Group
Nike Consumer Digital Technology brings together technology and process expertise to deliver one-stop solutions that enable Nike, Inc.'s digital products and services. Nike Consumer Digital Technology is responsible for creating, developing and deploying seamless, tailored and inherently social experiences to its Digital consumers. Working in Nike's Consumer Digital Technology organization will be rewarding, it will be challenging, and it will most definitely not be just another job.

Big data at Nike comes with big opportunities for innovation. Nike is turning to big data and Hadoop to help better understand customers, improve marketing efforts and fine-tune data-driven strategies. As our Lead Hadoop Engineer, you will be working with our highly motivated application engineers and data scientists to provide consumer insights that drive Nike to new heights. You will be building our next generation analytics platform in the cloud using mature and emerging Big Data technology and tools.

The opportunity to join Nike Consumer Digital is now; are you looking for the ability to help create, drive and innovate strategic initiatives within Big Data? Are you onboard with wearable technology and the joining Nike in leading the evolution of sport? If so, this role is for you.

Your Role on the Team
Here are some highlights of the responsibilities for this critical role:

Design and develop data ingestion, aggregation, integration and advanced analytics in Hadoop
Develop architecture and design patterns to process and store high volume data sets
Build continuous integration and test driven development environment
Research and deploy new tools, frameworks and patterns to build a sustainable big data platform

Desired Skills and Experience
What We're Looking For
We're looking for someone special, someone who had these experiences and clearly demonstrated these skills:
MS/BS in Computer Science or related field
7+ years of experience in large-scale software development
4 to 5 years of experience with data analytics and high volume data processing
Hands-on experience with Hadoop and tools such as Hive, Sqoop, Pig, Impala and Spark
Strong experience with SQL and Relational databases
Experience with scripting languages such as Shell and Python
Familiarity with a variety of data formats and protocols such as JSON, AVRO, RC
Experience with performance/scalability tuning, algorithms and computational complexity
Strong communication and collaboration skills
Familiarity with NOSQL technologies such as HBase and Cassandra is preferred
Experience with Kafka and Storm is desired
Ability to pass a 7 year background investigation

Enter your email address:

Refer This Job To Your Friends And Help Them To Find Jobs!