Engineering-L2-Bengaluru-Vice President-Product Manager

Bengaluru, Karnataka, India

Goldman Sachs

The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base.

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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.  

YOUR IMPACT
Curate, design and catalogue high quality data models to ensure that data is accessible and reliable
Build highly scalable data processing frameworks for use across a wide range of datasets and applications
Provide data-driven insight and decision-making critical to GS’s business processes, in order to expose data in a scalable and effective manner
Understanding existing and potential data sets in both an engineering and business context
 

HOW YOU WILL FULFILL YOUR POTENTIAL 

• Deploy modern data management tools to curate our most important data sets, models and processes, while identifying areas for process automation and further efficiencies 

• Evaluate, select and acquire new internal & external data sets that contribute to business decision making 

• Engineer streaming data processing pipelines 

• Drive adoption of Cloud technology for data processing and warehousing 

• Engage with data consumers and producers in order to design appropriate models to suit all needs 

SKILLS AND EXPERIENCE WE ARE LOOKING FOR 

• 1-6 years (Analyst/Associate), 7+ (VP) of relevant work experience in a team-focused environment 

• A Bachelor’s degree (Masters preferred) in a computational field (Computer Science, Applied Mathematics, Engineering, or in a related quantitative discipline) • Working knowledge of more than one programming language (Java, Python C++, C#, etc.) 

• Extensive knowledge and proven experience applying domain driven design to build complex business applications 

• Deep understanding of multidimensionality of data, data curation and data quality, such as traceability, security, performance latency and correctness across supply and demand processes 

• In-depth knowledge of relational and columnar SQL databases, including database design 

• 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 expert 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 

• Ability to collaborate effectively across global teams and communicate complex ideas in a simple manner 

Preferred Qualifications 

• Financial Services industry experience 

• Experience with the Hadoop eco-system (HDFS, Spark)
 

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.
  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., 2023. All rights reserved. Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity
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Tags: Banking Big Data Computer Science Data management Data quality Engineering Finance Hadoop HDFS Java Machine Learning Mathematics Pipelines Python Security Spark SQL Streaming

Perks/benefits: Career development Wellness

Region: Asia/Pacific
Country: India

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