Your Role:

The Vault Data Solution team is responsible for a suite of services that provide access to the data in the Vault archive. Our consumers are both client-facing applications and firms that subscribe to daily communications reports. Delivery of these reports is critical --- without them clients legally can’t use the Bloomberg Terminal  (a computer software system that provides Bloomberg Financial Services) that day! While maintaining and enhancing our existing system, we’re currently building a new data processing pipeline and reporting system using distributed systems (eg: Apache Spark) and modern orchestration workflow management framework (eg: Airflow and Argo). Over the next two years we will work to port our existing pipelines to this new platform. This is a hands-on technically challenging role that requires balancing understanding of complex existing systems with the build-out of new strategic services that include backend processing with client-facing APIs.

You’ll need to have:

•  A desire to build robust, scalable, and maintainable systems
•  Solid hands-on technical knowledge of Java and/or Python
•  An understanding of how to design reusable APIs and microservices in a distributed architecture
•  Experience with high volume, high availability distributed systems
•  Bachelor’s degree in computer science or a related field, and/or related professional experience

We’d love to see:

•  Experience with the Apache Hadoop Ecosystem (Spark, HDFS, Kafka, HBase, Airflow etc.)
•  Cluster computing and containerization (Docker, Kubernetes, Calico, Istio, etc.)
•  Passion for new technologies
•  Passion for solving difficult and complex problems