Who We Are

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

 

Your Impact

Data Platform Engineers will design, build, and maintain large volume, high processing & low latency post-trade stack that is used to Source, Transform, Persist & Distribute Equities Trading data to various consumers from Regulatory, Compliance, Billing, Risk, Analytics, Client reports etc..

Engineers will also be responsible for developing integrated Data Quality controls and visibility/entitlement platforms to ensure nuanced data access enforcement and real-time validation of data in terms of Completeness & Accuracy.

 

How will you fulfill your potential

You will be given opportunities to apply both your technical and soft skills towards

Implementing and/or enhancing Data Platform ecosystem, which is challenging as it must address scale, resiliency, performance/throughput with optimal usage of resourcesWorking with FO/MO engineering teams, Regulatory and Compliance operations and coverage teams to ensure smooth rollout & migration of any upgrades or changesLiaising with senior stakeholders across GS  to implement technology strategiesWorking on latest technologies in high performance computing, big data & distributed processing which ensures that huge amount of data is processed within SLAs

 

Basic Qualifications

Minimum 3 years of work experience in High Performance Server side/Data processing applicationsMinimum 3 years of Java programming experienceExposure to scripting languages and DatabaseClear understanding of algorithms and data structuresFamiliarity with core programming concepts and techniques (e.g. concurrency, memory management), I/O, performance optimization, high volume, near real-time processingComfortable with standard SDLC tools, e.g. version control systems, Build & debugging toolsStrong written and oral communication skillsHighly motivated, committed and capable of working against timelines with minimal guidanceFinance domain expertise & exposure to Trading, Investment banking is preferred but not must

 

Preferred Qualifications

Bachelor’s degree / Master’s degree in Computer Science, Computer Engineering or related fieldExperience with several of the following: Large-scale, distributed enterprise systems – Flink, Kafka, Spark, Hadoop etc..High Performance, High availability systemsDatabasesFunctional programming

 

Goldman Sachs Engineering Culture

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. 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.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

 

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.