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Lead Software Engineer, Consumer Data

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Technology
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00506847 Requisition #

Who are we looking for

We are looking for an experienced Lead Software Engineer to help drive delivery of scalable data and analytics solutions, implement and integrate new technologies, manage and evolve data lake. This role will be a key as Nike move towards its Consumer Direct Acceleration strategy and will require greater insights into Consumer Data. The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong eye for business, and an innate drive to deliver results. He/she will be a self-starter, comfortable with ambiguity and will enjoy working in a fast-paced dynamic environment.

What will you work on

In this role, you will be leading the delivery of data and analytics products focused primarily on Consumer Data. Our vision is to extend our insight of consumer earlier in their journey and help Nike unlock the next best consumer action. As Nike makes the pivot to consumer direct acceleration, this team is going to become the foundation to bring consumer data and advanced marketing capabilities to Nike.

Who will you work with

This role is part of Nike’s Enterprise Data & Analytics Organization and you will work with world-class talent of people in the field of Data Engineering with a goal of better business insights and driving data driven decisions across the organization. You’ll be working closely with Internal partners, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads and Engineers.

What you bring

  • 5+ years relevant work experience
  • Bachelor’s Degree in Computer Science, MIS, other quantitative subject areas, Business, or related fields -or- 5-7 years of relevant business experience
  • Experience building scalable, real time and high-performance cloud data lake solutions
  • Experience with relational SQL and scripting languages such as Shell and Python
  • Experience with source control tools such as GitHub and related dev process
  • Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
  • Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
  • Experience provisioning RESTful API’s to enable real-time data consumption
  • Experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
  • Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena etc

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