Rapidly growing education technology start-up seeks Data Engineer Company Description Voxy (Voxy.com) offers an entirely new, highly effective, and proven approach to language learning. Voxy uses mobile and web technology to turn the media that you consume, the conversations that you have, and the activities you do into powerful contextual language lessons that are available anytime, anywhere. Voxy is currently focused on teaching English to Spanish and Portuguese speakers, but is rapidly expanding into new markets and new languages to reach the billions of language learners across the globe. Voxy launched in public beta at TechCrunch Disrupt in September 2010 as one of the most innovative technology startups of the year and has been recognized for its pioneering approach by The New York Times, CNN Money, Fast Company, Mashable, Univision, Veja (Brazil), Venturebeat, and others.
Voxy ’s iPhone application has been the #1 ranked Education app in 13 countries around the world for most of 2011 and 2012. Voxy is headquartered in NYC. Recognized by Business Insider: The 10 Best US Tech Companies To Work For In 2012 Role Description Seeking an experienced backend application/system engineer with a data-focused background. In this role you will be a key contributor, working with other backend engineers to collect, aggregate and analyze rich application-level logs (JSON formatted), reflecting the activities of users on our site.
Aside from answering questions for the business you will also be producing systems to feed the application backend, things like recommendation algorithms and user-facing report cards. Requirements You are fluent in Python, SQL and/or map/reduce, and strongly prefer POSIX-type environments. You°ve designed and built systems like this before, semi-structured data goes in one end; application data, reports and graphs come out the other. We use postgresql, mongodb, redis and hadoop.
You°ve built something non-trivial with more than one of these (or similar) stores. You enjoy communicating and interacting with other human beings, and you°re good at it. You believe in the transformative power of education. Bonus Round Business Intelligence background.
Strong stats and/or data analysis background. Experience with unsupervised (clustering) and supervised (classifier) ML techniques. To apply please send a copy of resume and/or your LinkedIn profile to email@example.com.