Job Description

Engineering, Client Data Engineering, Data Engineer, Analyst, Bengaluru

About Data Engineering

Data plays a critical role in every facet of the Goldman Sachs business. The Data Engineering group is at the core of that offering, focusing on providing the platform, processes, and governance, for enabling the availability of clean, organized, and impactful data to scale, streamline, and empower our core businesses.


Within Data Engineering, we focus on offering a comprehensive data platform, Legend, which we have made available as an open-source product. Legend includes a full data modeling environment, as well as the execution of data access and controls, and a vast set of value-add products which allow our business users to operate more efficiently.


Leveraging our own Legend offering, our engineers build efficient data solutions that source, curate, and distribute critical data to our businesses, including financial product, pricing, transaction, and client reference data. Our engineers collaborate closely with the business to design and curate business-specific data models, and to transform and distribute data for optimal storage and retrieval.

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. Are you looking to apply your quantitative skills while deepening your understanding across a vast array of products? Client Data Engineering is a high-value risk management team under Data Engineering Division and is responsible for the governance programs that ensure critical entities modelling and entity data is accurate, complete, and scalable. This data is a critical input and dependency to most trade and client support functions. Client Data Engineering is comprised of four teams, based in Salt Lake City, Bengaluru, Singapore and Sydney.

How You Will Fulfill York Potential

Design & develop modern data management tools to curate our most important data sets, models, and processes, while identifying areas for process automation and further efficiencies Contribute to an open-source technology - https://github.com/finos/legend Engage with data consumers and producers to design appropriate models to suit enable the business Proactively solve data quality issues from both tactical and strategic perspectives Proactively work with entity data and external vendors (e.g., GLEIF, Factset, Bloomberg, etc..) to ensure we have the highest quality data in our systems

Basic Qualifications

1+ years of relevant work experience in a team-focused environment In-depth knowledge of relational and columnar SQL databases, including database design Proven experience applying domain driven design to build complex business applications Deep understanding of multidimensionality of data, data curation and data quality 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 skills Establish trusted partnerships with key contacts and users across business and engineering teams Highly motivated

Preferred Qualifications

Python Financial Services industry experience Experience with Pure/Legend

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., 2025. 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.