Job Description

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

GSAM is the asset management arm of Goldman Sachs, which supervises more than $1.8 trillion in assets. Goldman Sachs Asset Management has been providing discretionary investment advisory services since 1988 and has investment professionals in all major financial centers around the world.

Our team of engineers in the Quant Data Engineering help support quantitative research and investment strategies through efficient data acquisition, transformation, and access. We build critica data pipelines to enable seamless ingestion, storage, and processing of vendor datasets of any size, format, or structure. QDE empowers researchers and portfolio managers by rapidly onboarding and productionizing datasets and providing distributed compute infrastructure (Spark/Dask) for large-scale data analysis .

Quant Engineering team is a Global team which members working in multiple locations such as Newyork, Dallas, Netherlands, UK and India ( Bangalore & Hyderabad) .We are seeking an associate Software Engineer for the Asset Management Division in our Quant Engineering team in India

Responsibilities and Qualifications

• Bachelor’s or Master’s degree in Computer Science or related technical discipline.
• Work in an Agile environment managing end-to-end systems development cycle from requirements analysis to coding, testing, UAT, implementation and maintenance
• Work in a dynamic, fast-paced environment that provides exposure to big data platform and research
• Able to contribute towards Production Support and Maintenance of data platform including incident management, troubleshooting ,alert monitoring and problem management

Skills and Experiences we are Looking For

• 2-5 years’ experience working as a data engineer with hand on experience building ETL pipelines.
• Knowledge in software development, design and core programming concepts in at least one of these language : Python, Java
• Expertise in Big data technologies using Hadoop ,Spark and distributed computing
• In-depth knowledge of relational and columnar SQL databases with SQL, PLSQL querying skills
• Strong programming experience in at least Pyspark or Scala
• Knowledge of AWS cloud technology
• Experience in shell scripting in Unix or Linux environments.
• Experience working in a git-based CI/CD SDLC environment.
• Comfortable multi-tasking, open to learning new technologies and working as part of a global team.
• Strong problem solving and analytical skills with excellent communication skills

Goldman Sachs Engineering Culture

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 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!

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.