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    Transaction Banking, VP, Backend Software Engineer, Data Platform New York, New York, United St - London, United Kingdom - Goldman Sachs Group, Inc.

    Goldman Sachs Group, Inc.
    Goldman Sachs Group, Inc. London, United Kingdom

    1 week ago

    Default job background
    Description
    Solve the most challenging and pressing engineering problems for our clients.

    Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.

    Create new businesses, transform finance, and explore a world of opportunity at the speed of markets .
    Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

    Want to push the limit of digital possibilities? Transaction Banking (TxB)aims to bring innovative solutions to traditional banking and lending activities.

    We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital.

    Within TxB, Data & Analytics Platform is a global engineering team with pods across New York, London, Bengaluru, and Dallas.

    We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.
    In this role, your responsibilities will include development, test, and rollout of data platform features.

    Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems.

    You will be able to contribute to our vision, roadmap, and world-class engineering culture, while integrating business value and client experience within the team.

    Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market.

    We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.

    Minimum 6 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
    Experience in working with data-bases – NoSQL and/or Relational.
    BS. or higher in Computer Science (or equivalent work experience)
    Experience with AWS
    Experience in Financial Services or Fintech

    At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.

    Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

    We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

    We're committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

    A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .

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