Analytics Infrastructure Engineer foursquare
Foursquare helps you and your friends make the most of where you are. We're a small but highly ambitious company with millions of users worldwide relying on foursquare to keep up with friends, discover what's nearby, save money and unlock deals. We?re also helping over a million registered merchants ranging from local businesses to global brands connect with their customers.
To thrive as a member of team Foursquare, you must embrace our exciting work-hard, play-hard environment. We're not afraid to move fast and break things as we release, launch, iterate, update and announce -- sometimes all in the same day. We're a closely-knit team and, especially at the end of a long day over beers, we feel like we're inventing the future together.
About the role:
As a member of Foursquare?s analytics infrastructure engineering team, we want you to bring experience building big data analytics systems from the ground up. Your teammates should see you as a programming expert and go to you with their toughest problems. You should have intimate knowledge of Hadoop and know what it takes to keep a cluster running in good health. You should be focused on quality and reliability so that we always have the data we need to make decisions and move quickly.
Here are some high level areas you could help with:
Create real time event analysis pipeline based on event logging from Foursquare's mobile and web clients
Build a low latency analysis platform on top of all of Foursquare's data and events
Create tools to quickly analyze the impact of feature changes on usage
Our engineers play a key role in product development, from concept to launch, so be ready to bring your creative ideas to the table. This position is focused on analytics, but expect to have close interaction with engineers and other employees from across the company.
This position is based in our New York City headquarters in SoHo. We offer competitive compensation packages including stock options and full benefits for everyone.
BS or MS in Computer Science or related field preferred
Expertise in Hadoop, Hive and other Mapreduce tools
Strong Java experience or, even better, experience and/or interest in Scala
Strong Python experience
Strong attention to detail and an aversion to manual tasks
Comfortable in a small, intense and high-growth start-up environment
||Cooper Sq |
New York, NY 10003