Posted Mar 1, 2017 - Requisition No. 57256
Our group, the Bloomberg Analytics and Content Cloud (BACC) team, brings together core services and technology frameworks that are shared across Bloomberg application teams. We create standardized solutions to complex yet common problems across the Engineering department. We deal with challenges of storage, low-latency retrievals, high volume requests, scalability and high availability over a distributed environment for enterprise-wide use.
Within this area, the Bloomberg Query Language (BQL) and Analytic Platform teams are developing a cloud-based, low-latency Analytics and Screening Platform for massive amounts of financial datasets. In addition, we're developing a Financial Query Language, a standardized query interface that allows users to express complex data retrieval, analytics and screening for processing on the BACC Platform. We’re architecting and designing the entire ecosystem for the Analytics Platform and Screener Engine. We're developing core components that form the building blocks of the Query engine and a metadata framework that drives it. We're also building a Python test framework for the automated testing and quality assurance of the entire ecosystem. The platform leverages Hadoop-based distributed analytics and computing technologies such as Spark, Hive, HBase, vector parallel processing and more.
We are looking for Python software engineers who possess strong design and development skills to build out the core Analytics and Screening Engine. That's where you come in.