compensation:
$80K — $100K *
industry:
specialty:
experience:
The Data Technologies Financial Instruments Datasets team designs and builds complex data processing pipelines to get data from external sources (websites, filings, documents, FTPs, feeds, news, etc) and into Bloomberg's ecosystem. We then transform the data into standardized consumable schema payloads for teams downstream to display via various client-facing UI's/API's for financial instrument products including Corporate Bonds, Municipal Bonds, Government Bonds, Loans, Funds, Portfolio Holdings, and Indices.
This critical security level data is the lifeblood of the Bloomberg Terminal and Enterprise products. Our team is rebuilding these workflows from scratch. This includes brand-new JSON/AVRO format schema-based data models stored in big data platforms and leveraging pipes/feeds for downstream consumption, data processing pipelines and pre-publish business rules validation engines using Python-based microservices, newly trained machine learning (ML) and natural language processing (NLP) models and entity recognition/disambiguation mapping services integrated into the overall flow to identify, extract, and enrich the data, and manual remediation worklists and UI's for analysts and vendors to correct the data when the automation fails and manual intervention is required. Some of these brand-new workflows are already underway and many are set to begin soon. We are looking to add skilled engineers to help us design and build these full end-to-end data processing workflows. They will fully replace the existing legacy workflows with a focus on improving the accuracy, coverage, timeliness, and discoverability of the data we collect, as well as greatly improving the overall efficiency of our Global Data analysts and vendors who monitor these workflows.
If the idea of getting to design and build a brand-new data processing pipeline/workflow to replace an existing one, where you can have a huge impact on the data quality and efficiency of collecting data that is vital to Bloomberg's success, interests you, please read on and apply to this job posting!
Valid through: 1/19/2021