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.
Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities? Start here.
Transaction Banking (TxB) aims to bring innovative solutions to traditional banking and lending activities. We are a global team of lenders, investors, risk managers, skilled marketers, web experts and banking specialists. We provide a suite of solutions to help our customers meet their financial goals. We make direct investments in and manage risk for a portfolio of corporate loans and securities. We help transform distressed communities through investments and loans of private capital.
Within TxB, Data & Analytics Platform is a global engineering team with pods across New York, London, Bengaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.
Who We Look For
As part of our global team you will work on the data platform reporting to a Data Engineering Lead. Your role includes development, test and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow, Flink, Kafka, GraphQL, REST, various AWS services, as well as vendor and external systems
You are expected to contribute to the vision and roadmap, and a world-class engineering culture, while integrating business value and client experience within the team.
This initiative is of critical importance to the success of the organization and our roadmap. Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market place.
We expect a successful candidate to have excellent communication skills, deliver high quality software, and be passionate about cutting edge data engineering.
BASIC QUALIFICATIONS
- Advanced degree in Computer Science or similar technical field.
- Minimum 3 years of relevant experience with AWS, Terraform, and CI/CD deployment.
- Experience with Docker and orchestrator services such as Amazon ECS or Kubernetes.
- Experience with Amazon RDS.
- Experience with a scripting language such as Bash or Python.
Preferred Qualifications:
- Experience in Financial Services or Fintech.
- Experience in managing AWS infrastructure, RDS, CloudWatch, and automation tools.
- Experience building, maintaining CI/CD pipeline to streamline application deployment.
- Ability to automate routine tasks using scripting and configuration management tool.
- Experience with Terraform development.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headqua