WHAT WE DO

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, which is comprised of core and business-aligned teams, 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.

BASIC QUALIFICATIONS

• A Bachelor or Master degree in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline)
• 0 - 2 years of relevant work experience in a team-focused environment
• 0 - 2 years of experience in distributed system design
• 0 - 2 years of experience using Java, Python, and/or React
• 0 - 2 years of experience or interest in functional programming languages
• Strong object-oriented design and programming skills and experience in OO languages (Java)
• Strong experience with cloud infrastructure (AWS, Azure, or GCP) and infrastructure as code (Terraform, CloudFormation, or ARM templates).
• Proven experience applying domain driven design to build complex business applications
• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes
• In-depth knowledge of relational and columnar SQL databases, including database design
• Expertise in data warehousing concepts (e.g. star schema, entitlement implementations, SQL v/s NoSQL modeling, milestoning, indexing, partitioning)
• Experience in REST and/or GraphQL
• Experience in creating Spark jobs for data transformation and aggregation
• Comfort with Agile operating models (practical experience of Scrum / Kanban)
• General knowledge of business processes, data flows and the quantitative models that generate or consume data
• Excellent communications skills and the ability to work with subject matter experts to extract critical business concepts
• Independent thinker, willing to engage, challenge or learn
• Ability to stay commercially focused and to always push for quantifiable commercial impact
• Strong work ethic, a sense of ownership and urgency
• Strong analytical and problem solving skillsEstablish trusted partnerships with key contacts and users across business and engineering teams

PREFERRED QUALIFICATIONS

• Financial Services industry experience
• Experience with Pure/Legend
• Working knowledge of open-source tools such as AWS lambda, Prometheus

Please refer the Job description for details