Expert Data Engineer - Nike Technology

As our Expert Data Analytics Engineer, you will be driving architecture and design patterns to provide consumer insights that drive Nike to new heights. You will be leading innovation in driving the Data & Analytics Platform and frameworks in the cloud.To meet the demands of our business, we are rapidly embracing new software development and deployment technology and tools and delivering solutions using agile methodology. If that sounds exciting, this role is for you.

Your Role on the Team

Here are some highlights of the responsibilities for this critical role:

  • Evangelize and cultivate adoption of Analytics Platform, open source software and Dev Ops principles within the organization
  • Meet increasingly high demands of fast and flexible, self-service analytics on high volume and high velocity data
  • Lead next generation big data analytics platform in the cloud, with emphasis on automation and scale
  • Work and Lead data engineers and system engineers to build innovative data products and insights
  • Be a key contributor to overall architecture, framework and design of BI and Analytics environment
  • Help the engineering group to shift the paradigm from traditional, relational BI to Big Data and NoSQL ecosystem in the Cloud



Qualifications

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 with emphasis on data analytics and high volume data processing
  • 5+ years of experience architecting and building scalable data architecture
  • 3+ years of Hands-on experience with AWS, Hadoop and tools such as Hive, Sqoop, Impala and Spark
  • Experience with Snowflake strongly preferred
  • Strong experience with SQL and Relational databases and scripting languages such as Shell and Python
  • Ability to architect, design and implement solutions with AWS Virtual Private Cloud, Elastic Compute Cloud, AWS Cloud Formation, Auto Scaling, AWS S3, Route 53 and other AWS products.
  • AWS managed services such as EMR, Kinesis, Lambda, etc.
  • Lead other admins and platform engineers through design and implementation decisions to achieve balance between strategic design and tactical needs.
  • Research and deploy new tools and frameworks to build a sustainable big data platform.
  • 6-months+ experience with Packer, Puppet, Salt, Chef or AWS OpsWorks.
  • A variety of programming languages, including Java, Scala, Node.js/JavaScript, Python, etc.
  • Spark, Kafka, Fluentd, Docker, Jenkins, the ELK stack (Elasticsearch/Logstash/Kibana), and more!


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 with emphasis on data analytics and high volume data processing
  • 5+ years of experience architecting and building scalable data architecture
  • 3+ years of Hands-on experience with AWS, Hadoop and tools such as Hive, Sqoop, Impala and Spark
  • Experience with Snowflake strongly preferred
  • Strong experience with SQL and Relational databases and scripting languages such as Shell and Python
  • Ability to architect, design and implement solutions with AWS Virtual Private Cloud, Elastic Compute Cloud, AWS Cloud Formation, Auto Scaling, AWS S3, Route 53 and other AWS products.
  • AWS managed services such as EMR, Kinesis, Lambda, etc.
  • Lead other admins and platform engineers through design and implementation decisions to achieve balance between strategic design and tactical needs.
  • Research and deploy new tools and frameworks to build a sustainable big data platform.
  • 6-months+ experience with Packer, Puppet, Salt, Chef or AWS OpsWorks.
  • A variety of programming languages, including Java, Scala, Node.js/JavaScript, Python, etc.
  • Spark, Kafka, Fluentd, Docker, Jenkins, the ELK stack (Elasticsearch/Logstash/Kibana), and more!



Meet Some of Nike, Inc.'s Employees

Scott M.

Global Talent Engagement Manager

Scott ensures that Nike’s candidates have a world-class experience with the company, from applications to interviews, and that they feel valued throughout the whole process.

Danny M.

Senior Engineering Manager

Danny coordinates with various groups to facilitate Nike's e-commerce business, connecting athletes to products and services they'll love.


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