| Company Name | Goldman Sachs |
| Job Role | Associate Software Engineering |
| Qualification | Bachelor’s degree |
| Experience | 1–6 years |
| Salary | 7 – 40 LPA (via Glassdoor) |
| Location | Bengaluru, Karnataka, India |
At Goldman Sachs, our Engineers don’t just make things – we make things possible. We connect people and capital with ideas, solving some of the most complex and pressing engineering challenges. From building scalable systems and low-latency infrastructure to leveraging machine learning for financial engineering, we continuously transform finance and create opportunities at the speed of markets.
Engineering, which includes our Technology Division and global strategist groups, sits at the heart of our business. Our dynamic environment demands innovative solutions and real-time impact.
Who We Look For
Goldman Sachs Engineers are innovators, problem-solvers, and collaborators who thrive in fast-paced global environments. We’re looking for creative minds who evolve, adapt, and deliver solutions in risk management, big data, cloud, mobile, and more.
Your Impact
As an Associate Software Engineer, you will:
- Curate, design, and catalogue high-quality data models to ensure reliability and accessibility.
- Build highly scalable data processing frameworks across diverse datasets and applications.
- Deliver data-driven insights critical to Goldman Sachs’ decision-making processes.
- Understand, evaluate, and integrate existing and potential datasets in engineering and business contexts.
Responsibilities
- Deploy modern data management tools to curate and streamline datasets, models, and processes.
- Identify opportunities for automation and efficiency improvements.
- Engineer and optimize streaming data processing pipelines.
- Drive adoption of cloud technologies for data processing and warehousing.
- Collaborate with data consumers and producers to design robust, scalable models.
Skills & Experience We’re Looking For
- Experience: 1–6 years (Analyst/Associate level) in a team-focused environment.
- Education: Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or related quantitative field (Master’s preferred).
- Programming: Proficiency in more than one language (Java, Python, C++, C#, etc.).
- Strong understanding of domain-driven design and complex business applications.
- Expertise in data curation, quality, security, performance latency, and correctness.
- Proficiency with relational and columnar SQL databases and database design.
- Familiarity with business processes, data flows, and quantitative models.
- Excellent communication skills with the ability to simplify complex concepts.
- Strong analytical, problem-solving, and collaboration skills.
- Commercial mindset with a strong sense of urgency and ownership.
Preferred Qualifications:
- Experience in the financial services industry.
- Exposure to the Hadoop ecosystem (HDFS, Spark).
Why Join Us?
- Work with cutting-edge technologies in a global, innovative environment.
- Be part of a firm committed to diversity, inclusion, and professional growth.
- Access to firmwide training, development programs, wellness, and mindfulness initiatives.
- Opportunities for personal and professional advancement in one of the world’s leading financial institutions.
How to Apply
After checking all the Responsibilities, skills & eligibility criteria, if you are interested and eligible for this role. Then, do apply by the following link
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