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Goldman Sachs & Co. Software Engineer - Eq Data Platform & Analytics in Bengaluru, Indiana



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 .

Engineering, which is comprised of our Technology Division and global strategists 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.


Your Impact

This team is accountable for platform architecture evolution to meet the evolving needs of different business lines globally with rapid software deployment. As stewards of critical components in order execution and post-trade, the team is accountable for a high degree of software quality. The team consists of self-guided pragmatic individuals who are motivated to change the status quo in calculated ways.

As a member of the team, you will play an integral role on the trading floor. This is a dynamic, entrepreneurial team with a passion for technology and the markets, with individuals who thrive in a fast-paced changing environment. The team takes a data driven approach to decision making and you should be willing to participate in the full product lifecycle from requirements gathering, design, implementation, testing, support, and monitoring trading performance for systems and strategies used by our clients.


  • Design, build and maintain high-performance, high-availability and cost-effective solutions for processing high volumes of data streams, by leveraging managed on-premise and public cloud offerings.

  • Develop highly reliable data ingestion processes to consume large volumes of data emitted by trading and market data systems.

  • Build data driven algorithms and tools to enhance revenue generation and operating efficiency of the business.

  • Communicate with traders, sales, clients and compliance officers about new feature requests, explanation of existing features etc.

    Basic Qualifications

  • Bachelors or Master’s degree in computer science or engineering or equivalent experience

  • 6+ years of professional experience including hands-on experience in developing deterministic high performance, low latency systems (counted in microseconds)

  • Hands-on experience with loading, unloading and sharing data with Snowflake and AWS.

  • Hands-on experience with processing large and complex data sets of parquet, avro, json and other row/columnar data formats.

  • Familiarity with Snowflake objects like Databases, Schemas, Warehouses, Roles, Sequences and Stages.

  • Familiarity with Snowflake’s architecture and features like zero-copy cloning, Time-travel, variant datatypes etc.

  • Thorough knowledge of Java/Python programming concepts

  • Strong knowledge of object oriented programming, data structures, algorithms and design patterns

  • Strong knowledge of data cleansing/data-wrangling libraries in Java/Python

  • Strong communication skills and the ability to work in a team

  • Strong analytical and problem solving skills

  • Experience in data driven performance analysis and optimizations.

    Preferred Qualifications

  • AWS Certified Solutions Architect – Associate (or Professional)

  • Snowpro Core Certification

  • Experience building state management systems, complex event processing and transaction sequencing architectures

  • JVM internals, profiling and tuning for low-latency, GC-free real-time operation

  • Prior experience with event sourcing (sequenced core stream) based architecture

  • Linux systems programming experience including memory management, concurrent programming infrastructure, and the networking stack

  • Over 3 years' experience in Financial industry



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 . We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:

© The Goldman Sachs Group, Inc., 2021. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity


Job ID 2021-69951

Schedule Type Full Time

Level Vice President

Function(s) Software Engineer


Division Engineering

Business UnitS3 Trading Technology

Employment Type Employee