Goldman Sachs - New York, NY
posted 3 months ago
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. 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, the 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. In this role, your responsibilities will include development, testing, 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 will be able to contribute to our vision, roadmap, and 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. We expect a successful candidate to have excellent communication skills, deliver high-quality software, and to be passionate about cutting-edge data engineering.