Posted Apr 12, 2016 - Requisition No. 49426
The Spark Platform team is building low-latency, distributed analytics infrastructure for Bloomberg based on Apache Spark.
Instead of building dozens of isolated Spark applications for individual problem domains, we are building a platform that makes it easy for teams to plug in their business logic without duplicating common functionality. This includes connecting to various datastores or real-time streams, figuring out a way to serverize Spark transforms or having to re-implement transforms such as currency conversion that are very common in financial analytics. But we can't just use Apache Spark as is. We need to enhance open source Spark to fit our low-latency, high throughput and high availability contexts. That's where you come in.
As part of our team, you'll collaborate with a number of the core Spark contributors to co-design and co-develop enhancements to Spark in areas ranging from Performance to HA.
If this sounds like you, submit an application and watch our talk at Spark Summit East to learn more about Bloomberg's Spark Platform (https://spark-summit.org/east-2016/events/spark-at-bloomberg/).