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Goldman Sachs

Advises on mergers and trades stocks and bonds

Data Platform Engineering

Backend EngineeringConfirmed live in the last 24 hours
Full-timeDallas, TX, USANo salary listedIn-person

About the Job

Requirements

  • 0–2 years of relevant work experience in a team-focused environment.
  • A bachelor's or master's degree in a computational field, including Computer Science, Applied Mathematics, Engineering, or a related quantitative discipline.
  • Strong object-oriented design and programming skills and experience with object-oriented languages such as Java.
  • Experience or interest in functional programming languages.
  • Proven experience applying domain-driven design to build complex business applications.
  • Deep understanding of data multidimensionality, data curation, and data quality, including traceability, security, performance latency, and correctness across supply and demand processes.
  • In-depth knowledge of relational and columnar SQL databases, including database design.
  • General knowledge of business processes, data flows, and quantitative models that generate or consume data.
  • Ability to work with subject matter experts to extract critical business concepts.
  • Ability to stay commercially focused and pursue quantifiable commercial impact.
  • Strong work ethic, sense of ownership, and urgency.
  • Strong analytical and problem-solving skills.
  • Ability to collaborate effectively across global teams and communicate complex ideas simply.

Responsibilities

  • Improve the Alloy Studio platform by adding functionality based on user requests and new use cases, or by improving existing functionality.
  • Design and develop modern data management tools to curate important datasets, models, and processes while identifying opportunities for automation and efficiency.
  • Contribute to the FINOS Legend open-source technology.
  • Develop and contribute to the Legend language.
  • Drive adoption of cloud technology for data processing and warehousing.
  • Engage with data consumers and producers to design appropriate data models.

Desired Qualifications

  • Financial Services industry experience.
  • Experience in distributed system design.
  • Experience with Pure or Alloy.
  • Working knowledge of open-source tools such as AWS Lambda and Prometheus.

About the Company

Goldman Sachs

Advises on mergers and trades stocks and bonds

Goldman Sachs advises companies and governments on mergers, raises money for them by selling their stocks and bonds, and trades securities for big investors such as hedge funds and pension funds. It led Ford Motor's 1956 stock market debut, then the largest share sale in US history. Traders buy and sell stocks, bonds, currencies, and commodities for clients and lend them money, while bankers earn a fee on each deal they advise on or arrange. Its asset and wealth management arm invests for institutions and wealthy families and charges fees based on the money it oversees. The firm was founded in 1869, when it began brokering short-term IOUs for New York merchants, and it is based in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1869

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