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information technology
Technical Product Manager - Data Lake And Metadata Managemen
Job description
Bloomberg's Enterprise Data department develops data offerings that are considered industry leading by the capital markets community. Across real time market data, reference data, historical pricing data, and unique analytics we strive to deliver:The most comprehensive and highest quality content in the industryDistribution that is flexible, reliable, fast, and easy to onboardEasy to use data that is ready for analysisThese critical datasets serve as the primary source of information across the front, middle, and back office of the most respected capital markets firms across the globe. What's the Role?
Responsibilities & skills
Education
Communicate solutions and roadmaps through meetings and presentations.Work with sales and client services to best position and support our solutions.
Experience
3+ years of experience leading technology-focused initiatives including experience incorporating big data technologies*Proven understanding of one or more of the following: APIs, service-oriented architectures, architecting solutions for the web, or designing cloud-based solutionsCommunicate solutions and roadmaps through meetings and presentations.Work with sales and client services to best position and support our solutions.
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Bloomberg L.P.
BMQ (Bloomberg Message Queues) - a clustered queue based messaging solution for Bloomberg providing high performance and high-reliability. BMQ significantly outperforms popular open source MQ systems and is designed with high resiliency at the core.DMP (Data Mapping) - a high-performance pub/sub system for real-time data models, used by a large number of functions in the Bloomberg Terminal (instant messaging, market data, etc.).MBUS (Message Bus) - a very-high-performance, low-latency pub/sub system used by hundreds of server-side applications including many mission-critical systems. MBUS uses a combination of TCP, UDP and multicast (PGM) and scales up to millions of messages per second on a typical Linux box.Together they form a software infrastructure designed for creating large-scale, fault-tolerant applications that run on thousands of machines throughout the world. With many clients depending on our infrastructure solutions, we are looking to grow the MOM team.
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