Global Banking & Markets

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 resources
• Working with FO/MO engineering teams, Regulatory and Compliance operations and coverage teams to ensure smooth rollout & migration of any upgrades or changes
• Liaising with senior stakeholders across GS  to implement technology strategies
• Working 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 1.5 years of work experience in High Performance Server side/Data processing applications
• Minimum 1.5 years of Java programming experience
• Exposure to scripting languages and Database
• Clear understanding of algorithms and data structures
• Familiarity with core programming concepts and techniques (e.g. concurrency, memory management), I/O, performance optimization, high volume, near real-time processing
• Comfortable with standard SDLC tools, e.g. version control systems, Build & debugging tools
• Strong written and oral communication skills
• Highly motivated, committed and capable of working against timelines with minimal guidance
• Finance 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 field
• Experience with several of the following:
  • Large-scale, distributed enterprise systems – Flink, Kafka, Spark, Hadoop etc..
  • High Performance, High availability systems
  • Databases
  • Functional 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.