Posted almost 5 years ago
Brave is looking for an experienced data engineer who can help us stay one step ahead of fraud in our Brave Rewards ecosystem. This position is vital to help us make sure that rewards go to Brave users and creators, not to bad actors. We are looking to refine, automate, and expand the BAT ecosystem’s anti-fraud processes, and build more of the necessary tooling over time. We are looking for somebody who always prefers a simple solution over a complex one and who can take whole solutions from end to end.
Requirements
Experience with Python, JavaScript, Ruby, C++, Go, Java or other similar language
Experience with SQL, Postgres, and building analytics queries
Experience building robust API endpoints
Experience with complex data flow/analytics infrastructure, e.g. Kakfa, Kinesis, Redshift
Experience stopping bad actors in a system, e.g. ad fraud, e-commerce fraud
A working understanding of fraud vectors, both small scale (client-side hacks) and large scale (botnets)
Experience with software development via distributed development teams
Comfortable working in an open source setting
A passion for helping protect users’ privacy and security
Written and verbal communication skills in English
Proven record of getting things done
Bonus Points
Have built/trained statistical / machine learning models at scale to solve real-world problems
Experience with ad-tech / marketing tech ecosystem
Familiarity with the world of cryptocurrency, especially Ethereum