Hadoop Developer

Location: Reston, VA

Department: Engineering

Type: Full Time

Min. Experience: Mid Level

Resonate (www.resonateinsights.com) is a cutting-edge software product & “big data” startup in the online advertising space, recently voted one of "America’s Most Promising Companies" by Forbes Magazine. We have pioneered a completely new way to identify and reach highly-targeted audiences online through our methodology called “Insights Driven Media”. Resonate has transformed audience targeting into a game-changing advantage.

We are currently looking to hire a Hadoop Linux Developer. You’ll be working as part of a skilled, collaborative team to jointly design and implement our big data solutions.  You will be coding a system that processes billions of records every day.  This is an ideal job if you are an engineer with 5+ years of experience who wants to be part of a small, intensely skilled team, feels total ownership of your work, and can’t imagine a day without coding.  You will play a crucial role in Resonate’s Values-Based Targeting and Consumer Insights Platforms.  Everything you do will matter!

We are looking for a skilled developer, with professional, real-world experience with MapReduce and NoSQL systems. We want folks whom are creative, focused, and technically curious.  Those who enjoy both design as well as working hands-on, deep in the code.  Sound like you? Like to eat a lot of pizza? We want to hear from you!

Key Responsibilities

  • Design and develop components of big data processing, as part of an agile/scrum team
  • Help plan and implement methods to scale our product further
  • Code features all the way from the Hadoop job down through the Linux OS/shell

Qualifications & Experience Requirements

  • 5+  years of experience developing applications with big data needs
  • Solid understanding of the high volume, high performance systems
  • Professional,  on the job experience with using MapReduce to solve real world scaling problems
  • Professional experience with NoSQL solutions to solve real world scaling problems
  • While experience with any MR/NoSQL is required, experience specifically with Hadoop and Hbase a strong plus
  • Experience with agile methodologies and short release cycles
  • Strong attention to detail, good work ethic, ability to work on multiple projects simultaneously, and good communication skills

Qualification Pluses

  • Experience with systems that process at least tens to hundreds of TB of data
  • Experience in digital media, online advertising, or reporting/analytical applications
  • Experience working on systems that handle high volumes of data (hundreds of TB)
  • Experience implementing applications that use extensive statistical or optimization technology
  • Experience implementing machine learning
  • Experience with large scale SQL databases is a strong plus

Educational Requirements

  • Technical Bachelor’s Degree required, e.g. Computer Science, Engineering, Math
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