Posted Mar 22, 2017 - Requisition No. 57690
Bloomberg's application teams face challenges of large-scale data storage, low-latency retrievals, high-volume requests and high availability over a distributed environment. We are creating standardized solutions to these problems by building core services and technology frameworks for enterprise-wide use.
Data Snapshot is an initiative to provide an enterprise-wide standardized view of Bloomberg’s financial data sets. This high-performance, low-latency, and scalable platform will enable cross domain analytics across data sets and aid the discoverability of new data sets. It will also significantly reduce the operational complexity and scalability requirements of many platforms and products that require financial data across the enterprise. In short, the platform will revolutionize the way Bloomberg manages and applies complex analytics on disparate financial data sets.
Our small agile-driven team works extensively with technologies in the Hadoop ecosystem including HBase and Hadoop to provide a distributed acquisition, storage and retrieval solution with a focus on high availability, stability and performance. We envision upcoming features to expose a scalable streaming platform to react faster to data updates, ensure data integrity under tight SLAs and support new functionality currently constrained by existing technology.
We are looking for an experienced Java developer with a distributed systems background to own and help drive our challenging vision: Provide dependable and comprehensive access to Bloomberg’s financial data sets enterprise-wide.
As a member of our team, you’ll have the opportunity to make key technical decisions to influence the architecture, processes, best practices and direction of this initiative to fulfill our vision. You will be responsible for the research, development and stability of this critical platform and its impact on client success. You’ll be able to work with other experienced developers building core services and technology to support Bloomberg in a future of ever expanding datasets and client requirements.