Bloomberg is a global leader in business and financial information, delivering trusted data to clients worldwide to bring transparency, efficiency and fairness to markets. We deliver billions of data points to our customers covering all aspects of financial domains every day. The Core Financial Data (CFD) department acts as an integral role within Bloomberg to take the ownership of various domains including entities, company fundamentals, alternative datasets, global benchmarks and macroeconomic indicators. We design and build the systems that power financial and economic data for clients, investors, and institutions worldwide to make prudent investment decisions.
Requirements
- 4+ years hands-on software development experience in building well designed and robust client/server-side applications
- Solid understanding of object-oriented design, data structures, algorithms and full cycle of software development. This experience can be in any object-oriented programming languages, but open to working with C/C++ and Python
- Experiences with database design and implementations (SQL and/or NoSQL)
- Experience in building pipelines of data extraction from un-structured source documents to structured data stores for downstream consumption with an emphasis on automation over manual remediation
- Functional understanding of complex distributed systems architecture, high performance systems, scalable platforms, search databases, point-in-time historical data systems, macro and micro analytics, data query and manipulation languages, and time series analytics
- Working experiences of Apache Solr, PostgreSQL, Cassandra, HBase, Kafka, Redis and microservice-based architecture
- Familiarity with TypeScript and UI development framework
Responsibilities
- research, design and develop high quality, low latency, distributed, and scalable self-service platforms and mission-critical applications
- developing innovative solutions to provide automation as well as manual processing utilizing a variety of proprietary and open source technologies on microservices-based architecture with generic and extensible data models stored in big data platforms
- work closely with Business, Data, and other Engineering teams globally in a hybrid environment on all phases of software development using Agile methodologies
- take full ownership of products and collaborate with team members and stakeholders to shape the team's direction, culture, and vision
- building well designed and robust client/server-side applications
- database design and implementations (SQL and/or NoSQL)
- building pipelines of data extraction from un-structured source documents to structured data stores for downstream consumption with an emphasis on automation over manual remediation
Other
- An aptitude for analytical problem solving
- strong communication skills
- ability to collaborate across interdisciplinary teams
- Financial domain knowledge and experience
- Project leadership experience
