Lead Data Software Engineer of Matching Team Manager

Radius

(San Francisco, California)
Full Time
Job Posting Details
About Radius

Radius is a fast-growing, venture-backed startup in the heart of San Francisco. Radius applies advanced data science to deliver the freshest, most accurate, and most comprehensive view on 20M+ US companies—from small businesses to the largest enterprises. We build cutting-edge machine learning solutions that help our customers discover markets, acquire customers, and measure performance through an app that’s intuitive, secure, and enterprise-ready.

Summary

The Data Engineering team at Radius is seeking a hands-on Lead Data Software Engineer who is interested in incorporating a multitude of data sources to produce an accurate model of 18M+ small and mid-sized businesses in the U.S.

Responsibilities
  • Manage the Matching team that is responsible for clustering and matching components of our Graph data pipeline
  • Develop and ship code at scale in a fast-paced environment
  • Lead and mentor the team’s data engineers to maximize their potential
  • Conduct performance reviews for direct reports
Ideal Candidate

Requirements:

  • 3 years managing a team
  • Experience with Scala (ideally 2+ years)
  • Advanced Java skills (5 years)
  • Solid software engineering skills and experience including coding, testing, troubleshooting and deployment.
  • 3 years working with large scale data processing experience using Spark or Hadoop/MapReduce for ETL/Data transformations on rich datasets
  • Comfortable working in a remote Linux environment and Cloud (EC2)
  • Experience with git or a similarly distributed revision control system

Additional Preferred Qualifications:

  • 1+ year experience with Spark
  • Experience with Spark GraphX and Spark MLlib
  • Machine Learning experience

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San Francisco, California
Skills Desired
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  • Cloud
  • Data Processing
  • Hadoop
  • Java
  • Linux
  • Revision Control
  • Scala
  • Testing
  • Troubleshooting
  • Amazon EC2
  • Apache Spark
  • Git
  • Machine Learning
  • MapReduce
  • ETL
  • Software Engineering
  • Deployment
  • Spark GraphX
  • Spark MLlib

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