Technology – Equities &#...

goldmansachs Goldman Sachs

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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