Overview

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions.

Responsibilities

• Engineering, which is comprised of our Technology Division and global strategist groups, 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.
• Who We Look For
• 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.
• Transaction Banking
• Data & Analytics Platform is a global engineering team with pods across New-York, London, Bangaluru, and Dallas. We are responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.
• 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 to be passionate about cutting edge data engineering.

Qualifications

• Minimum 10 years of hands on experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
• Minimum 5-year production experience with Kafka, Kinesis or equivalent
• BS. or higher in Computer Science (or equivalent work experience)
• 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. Headquartered in New York, we maintain offices around the world.
• We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
• We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
• © The Goldman Sachs Group, Inc., 2023. All rights reserved.
• Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.