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  • Senior Software Engineer - Data Technologies…

    Bloomberg (Skillman, NJ)



    Apply Now

    Bloomberg

    delivers billions of data points to our customers each day and our clients

    heavily rely on comprehensive financial information including real-time market

    data to identify trends and gain data transparency so they can analyze the

    value of a potential investment, partnership, or acquisition target. In

    order to make this analysis possible for our clients, the Data Technologies

    Engineering department is responsible for designing and building large-scale

    sophisticated infrastructure and data processing systems to acquire financial

    reference information and pricing data from sources around the world

    (regulatory agencies, exchanges, central banks, buy-side and sell-side firms,

    websites, news, feeds, etc).

     

    The data

    processed through our systems is the lifeblood of the Bloomberg Terminal as

    well as Enterprise solutions across all the major asset classes including

    Equity, Fixed Income, Mutual Funds/ETFs, Mortgages, Futures, Options, Indices,

    and Portfolios/Holdings. In addition to these major asset classes, we

    provide news, pricing, company and industry research, biographical and company

    management information, platforms and tools to help onboard securitized and

    non-securitised data for the major players in the financial markets.

     

    Due to the

    nature and sensitivity of our data to the market, performance, reliability and

    quality are key features of our systems. We apply state-of-the-art

    techniques (including Large Language Models, Natural Language Processing (NLP),

    and Heuristic algorithms) to extract, standardize, enrich, and publish billions

    of data points that fuel Bloomberg products. Our services leverage big

    data technologies such as HBase, Hive, MySQL Vitess, and Spark as well as a

    scalable Kubernetes-based microservice platform and a bi-temporal Point In Time

    (PIT) database solution.

     

    We are a

    technologically diverse group solving a number of challenging problems using

    innovative techniques. We are proud of our intellectual curiosity and the

    quality of our product. We share a passion for solving real life problems

    and provide pragmatic solutions by rolling up our sleeves and collaborating

    seamlessly, within and across teams, to provide our clients with accurate,

    timely data to make critical investing decisions.

    Whatyou will do:

    As a member

    of our department, you will have the opportunity to research, design and

    develop high quality, low latency, distributed, and scalable self-service

    platforms and mission-critical applications that provide financial data

    delivery to our customers around the globe. This includes developing

    innovative solutions to provide automation as well as manual processing

    utilizing a variety of proprietary and open source technologies on

    microservices-based architecture with generic and extensible data models stored

    in big data platforms. You will work closely with Business, Data, and other

    Engineering teams globally in a hybrid environment on all phases of software

    development using Agile methodologies. You will take full ownership of

    products and collaborate with team members and stakeholders to shape the team's

    direction, culture, and vision.

    You’llneed to have:

    + 4+years hands-on software development experience in building well designed androbust client/server-side applications with Python, C/C++,Javascript/Typescript

    + Experiencebuilding gPRC/GraphQL/REST services

    + Functionalexpertise building microservices

    + Familiarity with User interface (UI) design and user experience (UX)principles

    + Priorcontributions to system design and architecture and scaling fault-tolerant,distributed systems

    + Knowledgeof Big Data, SQL and NoSQL Databases, and Cloud-Based Object Stores

    + ADegree in Computer Science, Engineering, Mathematics, similar field of study orequivalent work experience

    Niceto have (you will have opportunity to learn):

    • Experience

    working with Microservice architectures and methodologies such as Twelve-factor

    and Lambda

    • Familiarity

    with Transport and Application layer protocols

    • Understanding

    of queuing and caching technologies

    • Experience

    with Data Science and Machine Learning techniques to help with automation.

     

    Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

     

    Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]

     


    Apply Now



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