Senior Software Engineer - Data Ingestion Storage
For over 35 years, our clients have relied on our core product, the Bloomberg Terminal, to access the data and analytics they need to make informed investment decisions. The Company Financials Data Ingestion and Storage team within Bloomberg covers complex time-series data sets for Global Financial Markets including company reported as well as broker estimate data for the Bloomberg Terminal. There are thousands of data fields each resulting in billions of data points spanning years contributing to terabytes of storage.
The team not only provides the storage solutions for large datasets but also exposes optimal high performance access API's and data visualization tools. We constantly try to break boundaries by applying state of the art technologies in areas of big data, Kafka queues and distributed computing that can support enhanced business analytics and data insights allowing our customers to make savvy financial decisions. You'll gain a deep understanding of multi-dimensional data modeling and processing, how to architect high-performance low latency backend systems, and intuitive visual design. We'll trust you to:
You'll need to have:
- Define & design large scale distributed system that can be used for interactive as well as batch use cases.
- Evaluate upcoming open source technologies for distributed computing and integrate such that our platform improves and scales better.
- Contribute back into the open source community.
- Interact with infrastructure, business and data teams to produce client requirements for next generation product development.
- 3+ years of experience with application programming, building large scale distributed system, data structures, algorithms and all phases of the software life-cycle.
- Knowledge of programming languages like Python, C++ and/or Java.
- Experience in delivering high performance production quality software to clients.
- Functional understanding of distributed systems architecture.
- An aptitude for analytical problem solving.
- Knowledge of distributed computing platforms like Kafka, Spark etc is a plus.
- BA, BS, MS, PhD in Computer Science, Engineering or relevant experience in a technology field
If this sounds like something you would be passionate about, please apply!
Bloomberg is an equal opportunity employer, and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.