GBM Transaction Banking Technology Bengaluru Vice President Data Engineering
Job Summary
What We Do
At Goldman Sachs our Engineers dont 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 strategist 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.
Transaction Banking
Transaction Banking aims to provide comprehensive cash management solutions for corporations. Transaction 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 valuetransparency and simplicity to improve cash flow management efficiency.
The Team:
Data & Analytics Platform is a global engineering team with pods across New-York London Bangaluru and Dallas. We are 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 a Data Engineering Lead. Your role includes development test and rollout of data platform features. Our platform is made of Java and Python services that inter-operate with Airflow Flink Kafka GraphQL REST various AWS services as well as vendor and external systems
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 10 years of hands on experience using a modern processing frameworks (Hadoop Spark Airflow Flink) and programming languages (Java/Scala/Python)
- Minimum 5-year production experience with Kafka Kinesis or equivalent
- Experience in REST and/or GraphQL
- Experience in working with data-bases NoSQL and/or Relational.
- BS. or higher in Computer Science (or equivalent work experience)
Preferred Qualifications:
- Experience with microservice architecture
- Experience with PostgreSQL
- Experience with AWS
- Experience with Snowflake
- Experience with Terraform
- Experience in Financial Services or Fintech
Required Experience:
Exec
About Company
The Goldman Sachs Group, Inc. is a leading global investment banking, securities, and asset and wealth management firm that provides a wide range of financial services.