Job Description:
Develop new data engineering/data catalog tools and maintain existing code. This position is primarily about implementing efficient tools and workflows for data cataloging and data manipulation. Having prior experience with data discovery tooling is a big plus.
Along the way, you will develop comprehensive automated testing to ensure the product is reliable and scalable. You will handle issues and fix bugs promptly to minimize disruption to users as we roll out these state of the art pipelines while also maintaining backwards compatibility. Pairing with and mentoring colleagues is a must. We are a very collaborative team.
You should be interested in, and capable of building and maintaining complex systems. You should be highly-motivated, capable of working independently, and proficient in the following areas:
Requirements
3+ years of professional software development experience
Knowledgeable about data cataloging and transformation tools
Python programming (python 2 and 3)
MongoDB / NoSQL Databases
SQL / Traditional Databases
Ability to plan and lead projects from start to finish and explain your design decisions
Familiarity with collaborative development, including code reviews. Either in a commercial or open source environment.
Strong desire to build efficient and useful tools
Experience in the following areas would be a plus, but not necessary:
Data manipulation using Python tools
Java / Scala / C++
Data manipulation using Spark or other distributed processing technologies
Familiar with the Kubernetes ecosystem
Linux shell scripting, Linux operating system
Jenkins or other Continuous Integration platform
AWS technology
Worked in a start-up environment
About DataRobot
DataRobot offers an automated machine learning platform for data scientists of all skill levels to build and deploy accurate machine learning models in a fraction of the time
Company website:
https://www.datarobot.com/
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Job unpublished on
26 August 2021
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