Sr. Software Engineer / Principal Engineer (Hadoop)

Location
San Mateo, CA

Description
This is key member of engineering team with deep experience building scalable distributed data solutions using Hadoop. You will be tapping into our multi-terabyte, highly actionable data set on consumer shopping behavior, and will be driving solutions to improve the way we target consumers with the most relevant products and offers, track & report on the results, leverage it to build detailed profiles, and do data analysis to test out new ideas.

Primary responsibilities for this position include, but are not limited to:

• Hands on technical role; contribute to all phases of the software development lifecycle, including the analysis, architecture, design, implementation, and QA
  
• Collaboration on requirements; work with the Engineering, Product Management and Client Success teams to define features to help improve results for our customers and ourselves alike
  
• Partner with our Data Mining and Analytics team to do analysis, build predictive models & optimization algorithms, and run experiments
  
• Work closely with Operations/IT to assist with requirements and design of Hadoop clusters to handle very large scale; help with troubleshooting operations issues

Qualified individuals will have a solid background in the fundamentals of computer science, distributed computing, large scale data processing as well as mastery of database designs and data warehousing. We’re looking for individuals with a high degree of self motivation, an unwavering commitment to excellence, excellent work ethic, positive attitude, and is fun to work with.

Prerequisites
Requires a B.Sc. / M.Sc. in Computer Science
Startup Experience required

Requirements

• Expertise in building massively scalable distributed data processing solutions with Hadoop, HBase, Cascading, Hive, & Pig
  
• Deep experience with distributed systems, large scale non-relational data stores, map-reduce systems, data modeling, database performance, and multi-terabyte data warehouses
  
• 6+ years hands on Java experience building scalable solutions
  
• Domain experience in one or more of the following:
  
  • Display Advertising, Behavioral Ad Networks
    
  • Recommendation Engines, Personalization
    
  • Data Analytics, Data mining, Predictive Modeling
    
• Because we are a small team, your ability to communicate technical ideas effectively, in oral and written forms, and solve complex problems in a team environment is essential

Please refer all inquires to careers@mybuys.com

About MyBuys

MyBuys is the leading provider of personalized product recommendations for online retailers. The company builds deep profiles based on each individual shopper's behavior, and then uses a patent-pending portfolio of algorithms and real-time optimization to deliver the most relevant recommendations. MyBuys' clients are increasing average order value by 45 percent, improving conversion rates by 90 percent, and boosting overall online revenue 10-30%. Premier retailers—including Lancôme, Wine Enthusiast and Cost Plus World Market—partner with MyBuys to offer intelligent, personalized recommendations to their shoppers. Based in San Mateo, Calif., MyBuys is a privately held company. http://www.MyBuys.com