The Role:

The Big Data Services engineering team at Bloomberg is responsible for providing a software platform for hosting large datasets, complete with search, analytics, and real-time pipeline processing capabilities to address the unique challenges of financial markets.

We are building large distributed systems that will be the heart of data architecture to serve billions of requests, provide search and analytics across structured, semi-structured and unstructured datasets, and scale out to petabytes while maintaining low latency and availability and immediate discoverability by clients.

We are using a number of large distributed computing systems like HBASE, Kafka, Lucene, Solr, HaProxy, in-memory stream processors, etc. We adapt and change many technologies to provide solutions for distributed data storage, synchronization, sub-second latencies, search and discoverability while maintaining fault tolerance and high availability.

If solving intricate engineering issues with distributed systems, platform API, real-time big-data pipeline and search and discovery query patterns are your calling, we would like to hear from you.