The Bloomberg Query Language (BQL) team is leading the low-latency analytics space in the financial domain. We are developing a cloud-based, low-latency Analytics and Screening Platform for huge financial data sets. We are also creating a Financial Query Language to allow users to express complex data retrieval, analytics and screening for processing on the BQL Platform, and provides screening capabilities.
BQL Metadata serves as the store of record and a global Registry for Data, Analytics and source configurations. The BQL Metadata framework is an implementation of the rich BQL Type system as well as the standardized Meta-Model, a key factor which allows BQL to provide consistent access over varied domain and analytic sets. BQL Query Engine as well other subsystems on the platform rely on the Metadata Framework to derive semantic meaning by leveraging the model and type system.
Metadata engineering focuses on building out the full stack core Metadata framework and workflow solutions from helping to enrich BQL’s metamodel, developing UI and programmatic workflows to add data, and building services to provide this data to multiple consumers. The team closely collaborates with the BQL teams responsible for building the query language and analytics execution engine, and collaborates with other teams across the organization.
The team is looking for a full stack Senior Engineer with expertise in semantic web technologies, and building large scale applications to build the next generation tools that will solve Bloomberg’s data modeling issues and ensure the meaning of data delivered by Bloomberg through BQL is easy to understand by internal and external clients.
Job ID: 89538
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