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DataRobot // machine learning automation software for enterprise
 
Engineering, Full Time    Boston, United States    Posted: Thursday, October 24, 2019
 
   
 
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JOB DETAILS
 

As a Python Backend Engineer on our team, you will accelerate the process of engineering features to get the most out of multiple data sources & data types. The people you will work with own the entire feature learning experience for DataRobot, & is responsible for making sure our feature discovery automation & resulting models are the best in the world.

You will build out Data Management & ETL system inside DataRobot utilizing distributed frameworks such as Spark, Hadoop & Kubernetes. You will build scalable solutions to process high data volumes, with the main focus on crafting robust components for data intake, cleanup & full variety of data transformation. You will also be responsible for designing & implementing features from start to finish, including clean & easy to use APIs, automated tests, & deployment infrastructure.

The ideal candidate can bring new ideas from concept to implementation, write quality, testable code, & participate in design/development discussions.


Main Requirements

5+ years of experience in Python

3+ years of experience in architecting & developing distributed systems

Experience with data processing using at least one of the following tools:

Spark

Dask

Pandas

Experience with Hadoop ecosystem

In the interview process, you will be evaluated on your performance in a number of coding & design scenarios - be prepared to think!

Desired Skills

Ability to communicate about technical topics

Willingness to learn about new technologies

Experience in some or all of the following:

System/performance evaluation such as profiling process memory/cpu/io/network usage & language-specific debugging tools

Document-oriented databases, ideally MongoDB

Distribute search engines such as ElasticSearch or Solr

Messaging services such as RabbitMQ

Hadoop services such as Yarn, Spark & HDFS

Docker

Kubernetes

 
 
 
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