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About This Role Goldman Sachs India is hiring New Graduate Data Engineers (Analyst level) for its Engineering Division. You will build data infrastructure supporting Goldman's global trading operations, risk management, asset management, and client analytics working with Python, Spark, and Goldman's proprietary Marquee data platform used by institutional investors worldwide. Key Responsibilities Build financial data pipelines ingesting market data, trade confirmations, and reference data from global exchanges Develop PySpark and Python ETL frameworks processing multi-terabyte trade and position data daily Design dimensional data models in Snowflake for trading analytics and client reporting Implement data quality validation and regulatory data lineage for GDPR and BCBS 239 compliance Build APIs exposing structured datasets via Goldman's Marquee data platform to institutional clients Optimise complex SQL and Spark query performance for real-time and near-real-time data SLAs Requirements & Skills B.Tech/M.Tech in Computer Science, Mathematics, or Statistics from a top-tier institution (2025/2026 batch) Exceptional Python and SQL programming skills Understanding of financial data types: market data, trade lifecycle, risk analytics Familiarity with big data processing (Spark) and cloud data platforms Strong analytical rigour and attention to data accuracy in regulated environments Benefits & Work Conditions Top-quartile technology salary in India with Goldman's performance-based annual bonus Goldman Sachs New Analyst onboarding and mentorship programme Hybrid work with Goldman's premium Bengaluru and Hyderabad offices Comprehensive health insurance and Goldman's employee assistance programme Access to cutting-edge financial technology and exposure to global capital markets About the Company Goldman Sachs is a leading global investment bank and financial services company with $50 billion+ in revenue and 45,000 employees worldwide. Goldman Sachs India, with 9,000+ engineers in Bengaluru and Hyderabad, is one of the bank's most important technology hubs, building trading infrastructure, risk analytics platforms, and the Marquee client data portal. How to Apply Apply at goldmansachs.com/careers India Student Programmes and search for Engineering Analyst Data roles. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.