Engineering Data Services group is responsible for core data and analytics services that are used across Bloomberg’s application teams. Their service stack currently runs on over 900 machines and serves over 120 billion requests a day. With ever-increasing data volumes and growth of Bloomberg’s Enterprise products, this footprint has been growing at a rapid pace year over year. Their team also provides multiple foundational services such as metadata and id master for their Bloomberg Query Language (BQL), the next-generation analytics and screening engine for financial datasets.
They are building out a suite of tools that help developers support and optimize their data services. One such tool, their data integrity checker, is required to verify 50 billion unique data points daily to detect anomalies. This immense scale requires the use of Hadoop and Spark analytics framework. They are developing a set of brand new services for metadata, security & entity relationships, and entitlement. Due to the large volume and explosive growth of underlying data they are looking to leverage Hadoop based storage for these services. They are also building new tools to manage their server farm more efficiently and leverage analytics to ensure high availability, efficient load balancing, and fair scheduling.
They are looking for strong C++/Java software engineers who can design and develop low latency, high performance distributed systems. The ideal candidate should have strong programming skills, the ability to work collaboratively, and a proven track record of delivering quality engineering solutions to real-world problems. Their team is comprised of a small group of technologists passionate about data and pushing the boundaries of technology to deliver innovative solutions. They expect you to be proactive, able to work independently and take ownership in driving the vision and execution of the product.
They’ll trust you to:
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- Design, implement and own critical applications and components of our services stack
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- Participate in the full SDLC (Software Development Life Cycle) of various components and systems that are required to be highly efficient, robust, and scalable
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- Enhance their infrastructure to fulfill mission-critical SLAs, whether low latency or high throughput data retrieval
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- Get to know development teams across Bloomberg, understand their application requirements and data access patterns
You need to have:
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- 3+ years of C++ or Java on UNIX/Linux environment
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- Solid understanding of algorithms and data structures, knowledge of object-oriented design and multi-threading
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- Excellent problem solving and communication skills, and ability to thrive in a highly collaborative and dynamic work environment
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- Experience with high volume, high availability distributed systems
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- Experience working in a test-driven development and agile environment
They’d love to see:
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- Knowledge of low-level Linux, UNIX networking, and C system calls for high-performance computing and debugging
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- Experience with systems-level Java or Scala
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- Experience with Hadoop and/or using a distributed analytics infrastructure like Apache Spark
Bloomberg is an equal opportunities employer, and we value diversity at our company. They do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
More Information
- Salary Offer 0 ~ $3000
- Experience Level Junior
- Total Years Experience 0-5
- Dropdown field Option 1