Technology - Equities - Cloud Solutions Data Engineer - Analyst/Associate

Technology is at the heart of our multi-billion dollar business. Our engineers develop lowlatency, scalable, and resilient solutions which drive global equities sales and trading at

Goldman Sachs.

Equities Data Engineer:

  • Deploying Equities post-trade processing onto a big data platform
  • Optimizing performance of Equities post-trade processing within both legacy and strategic environments
  • Assisting front-office users in optimizing their usage of equities post-trade data and systems
  • SDLC and operational uplift of legacy post-trade processing systems

Responsibilities:

  • Deploy Equities post-trade processing onto a big data platform
  • Optimize performance of Equities post-trade processing within both legacy and strategic environments
  • Assist front-office users in optimizing their usage of equities post-trade data and systems

Basic Qualifications-Minimum 3 years of industry experience programming in a compiled language (e.g. C, C++, Java)

  • Clear understanding of algorithms and data structures
  • Familiarity with core programming concepts and techniques (e.g. concurrency, memory management)
  • Comfort with standard SDLC tools, e.g. version control systems, diff-ing tools

Preferred Qualifications-Bachelor’s degree / Master’s degree in Computer Science, Computer Engineering or related field

  • Experience developing in a Linux or UNIX environment
  • Experience with several of the following: -Real-time systems -Large-scale, distributed systems -Operating systems design -Compilers -User interface technologies -Modern webstacks -Databases -Functional programming -Test engineering

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet. © The Goldman Sachs Group, Inc., 2015. All rights reserved.


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