Commercial Banking – Data Engineer

  • Competitive
  • New York, NY, USA
  • Permanent, Full time
  • Goldman Sachs USA
  • 20 Mar 19

Commercial Banking – Data Engineer

At Goldman Sachs, our Engineers don't just make things - we make things possible. We change the world by connecting people and capital with ideas and solve the most challenging and pressing engineering problems for our clients. Our engineering teams build 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.

Engineering, which is comprised of our Technology Division and global strategist groups, is at the critical center of our business. Our dynamic environment requires innovative strategic thinking. 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.

Commercial Banking
Commercial Banking, a business unit within CCBD, aims to provide comprehensive cash management solutions for corporations. CCBD Commercial Banking combines the strength and heritage of a 148-year-old financial institution with the agility and entrepreneurial spirit of a tech start-up. Our goal is to provide the best client experience. Through the use of modern technologies centered on data and analytics, we provide customers with powerful tools that are grounded in value, transparency and simplicity to improve cash flow management efficiency.

Data Platform is a global team (New-York/London/Bangaluru) responsible for detailed technical design and development of data-intensive capabilities using existing and emerging technologies.

The Role:
As part of our global team you will work on the data platform reporting to the Data Engineering Lead. Your role includes development, test and rollout of data platform features. You are expected to contribute to the vision and roadmap, and a world-class engineering culture, while integrating business value and client experience within the team. This initiative is of critical importance to the success of the organization and our roadmap. Services like liquidity analytics, billing, client onboarding, reporting and others will rely on the data platform. Accurate, granular, complete and timely data is a key differentiator and competitive advantage in the market place. We expect a successful candidate to have excellent communication skills, deliver high quality software and to be passionate about cutting edge data engineering.

Basic Qualifications:

  • Minimum 3 years of relevant Big Data experience using a modern processing frameworks (Hadoop, Spark, Airflow, Flink) and programming languages (Java/Scala/Python)
  • Minimum 1 year production experience with Kafka, Kinesis or equivalent
  • S. or higher in Computer Science (or equivalent work experience)
  • Comfort with Agile operating models
  • S trong interpersonal and communication skills
  • Energetic, self-directed, and self-motivated
Preferred Qualifications:
  • Experience with microservice architecture
  • Experience with MongoDB, Cassandra
  • Experience with AWS
  • Experience in Financial Services or Fintech

ABOUT 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 that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.

© The Goldman Sachs Group, Inc., 2018. All rights reserved Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Vet.