Senior Python Engineer- Data License Content Team (Consultant)
New York, NY
Posted May 6, 2019 - Requisition No. 74988
Every day, trillions of dollars pass through the Bloomberg Terminal. As a result, hundreds of thousands of financial professionals rely on our 500+ enterprise applications to manage their portfolios, execute their trades and analyze the markets.
As engineers, we're the ones who build the applications our clients rely on to not just stay informed, but stay ahead of the market. We connect supply and demand across all asset classes on worldwide exchanges. The applications and infrastructure we build embody the speed, agility and financial data that makes Bloomberg the go-to for financial professionals across the globe.
Bloomberg Enterprise Content data products drive the financial industry. Enterprise Content is used worldwide by thousands of our clients, and is a rapidly growing business that provides rich programmatic access to the best financial data and services in the industry. Our products span a wide variety of asset classes and data products including Pricing, Corporate Actions, Regulatory and Reference data content sets (https://www.bloomberg.com/professional/product/reference-data/). We build high-performance systems that feed billions of data points per day to our customers that include key financial players.
We interact very closely with our business and sales teams using agile and iterative development. We have many opportunities to design and develop innovative solutions to accomplish ever-growing customer requirements. We’re continuing to grow rapidly, and have opportunities on the following team:
Our clients make hundreds of thousands of requests for data on a daily basis, which translates to billions of data points that flow through our system. Each of these requests may have different parameters asking for different data types, how and when it should be fetched, and various transformations to be performed. Additionally, we generate thousands of data sets that nearly span the full range of the financial industry on an ongoing basis.
To meet these demands, this team designs, develops and maintains software that generates machine readable data. This is done via interactions with API’s provided by data teams within Bloomberg. Our software runs within a microservices, celery-based architecture that runs across hundreds of machines to execute large, distributed systems.
The team is working primarily to build new python based workflows to replace all our legacy systems and frameworks. These will be used in our celery based infrastructure which handles the requests automatically (end-to-end). Furthermore, we will build a framework to perform quality checks (data, performance, format) when compared to the legacy output.
As an engineering consultant:
You'll need to have
- 3+ years of experience with the following:
- Python development, including writing idiomatic code, large scale project organization and unit testing
- Completing projects that required significant problem solving, communication skills and the ability to liaise with other Bloomberg teams.
- Use of development tools such as debuggers, memory profilers, and performance measurement
We'd love to see
- Experience with compiled languages such as C, C++ or Java
- Relational database experience (SQL and table design)
- Experience developing software in a UNIX environment
- Experience with low-latency, high-volume, and highly-availability distributed systems
We are extremely proud of our diverse and open culture, and value diversity of thought and perspective in every form. We're looking for engineers with a real passion for writing reusable, efficient solutions to complex problems, who can adapt to an ever-changing market landscape, and who can collaborate and work effectively on small teams to develop software that impacts thousands of power users around the world. If this sounds like you, please apply below!
To find out more about Engineering at Bloomberg, check out www.bloomberg.com/careers/technology/engineering/.