Blomberg is searching for an innovative Tech Lead to join the Economics Engineering group. Our platform provides functionality for our users to monitor market-moving, real-time economic releases all over the world. Our users rely on our analytics to understand and predict the long-term economic consequences of government policies around the world. You will be responsible for building a highly scalable, federated infrastructure leveraging the different libraries and application servers owned by the Economics group and helping model datasets containing millions of time series across hundreds of economic concepts, countries, sources, etc.
As a Tech Lead, you will collaborate with Product Management and other stakeholders within Engineering, UX, etc. to maintain a high bar for quality in a fast-paced, iterative environment. You will be empowered and expected to advocate for improvements to product quality, security, and performance while recognizing impediments to our efficiency as a team, and helping propose and implement solutions. You will have the ability to craft code that adheres to high standards for style, maintainability, and SDLC best practices including CI/CD.
Who we are
What are the implications of changes in energy prices?
What are unemployment numbers so important during a pandemic?
What do the different factors driving inflation tell us about the state of the economy?
If these kinds of questions pique your interest, the Economics Engineering group in Bloomberg Engineering might be the place for you? Our teams are responsible for the ingestion, curation, enrichment, persistence, distribution, analysis and visualization of a wide variety of economics data. Consumer Prices, Government Spending, Jobless Claims, Housing Market, are all within our realm. Our software systems include data administration tools and pipelines, pricing engines, and economic impact analysis tools. As a tech lead you’ll be a key decision maker on how our teams organize our reusable software libraries, microservices, and databases into a cohesive ecosystem of federated services.
Like many Bloomberg groups, we rely heavily on a number of technologies that have been developed in-house. However, we also use lots of commercial and open-source software where applicable (with our preference being for open-source, if available).
Technologies in our stack include:
Job ID: 76911
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