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    Senior Database Engineer - New York, United States - Bloomberg

    Bloomberg
    Bloomberg New York, United States

    3 weeks ago

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    Description


    The Enterprise Trading Platform (ETP) team designs, develops and maintains the infrastructure that supports Bloomberg's innovative Enterprise Order Management Systems (OMS).

    Bloomberg's OMS offerings include TOMS, the top-tier Sell-Side broker-dealer system, and AIM, the leading Buy-Side system supporting institutional asset managers, asset owners, and hedge-funds.


    As a platform engineering team, our mission is to design, develop, and support highly-available, scalable software systems - the "building blocks" that support the financial trading lifecycle.


    Our team of dedicated software engineers work on solving enterprise software engineering problems using innovative technical solutions in a highly collaborative fast-paced environment.


    What's in it for you:

    Engage in all aspects of the database life-cycle for our enterprise products: requirement analysis, design, implementation and testing, performance tuning, documentation, deployment, and maintenance.

    Help our team give our clients better access to their data and insight into the business processes we perform.

    Be a part of crafting new infrastructure which will empower clients and applications teams to provision the building blocks of a trading system.

    These developments aim to make our products more useful to our clients and support faster evolution of new products and features within Trading Solutions systems.

    You'll need to have:

    4+ years working with different programming languages including Python. Knowledge of the Unix command line and tools.
    Fluent in writing efficient SQL queries.
    Familiarity with database performance tuning and optimization techniques.
    Experience with troubleshooting and identifying complex database functional and operational issues.

    10+ years of working experience with relational databases, PostgreSQL, Oracle, building and maintaining database infrastructure that stores, processes, and analyzes very large amounts of data.

    A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience.

    We'd love to see:
    Solid analytical skills, excellent understanding of big data technologies.
    Prior contributions to system design and architecture and scaling fault-tolerant, distributed systems.
    Familiarity with cloud based and container based technologies
    Experience with Graph databases and familiarity with GraphQL is a big plus.

    Salary Range: 160, ,000 USD Annually + Benefits + Bonus

    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 maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

    Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job.

    Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

    If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for.

    Salary Range: 160, ,000 USD Annually + Benefits + Bonus

    The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.


    We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others.

    The Company does not provide benefits directly to contingent workers/contractors and interns.
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