Data Engineer for Financial Institutions

1 week ago


London, Greater London, United Kingdom Goldman Sachs Group, Inc. Full time

**About Goldman Sachs Group, Inc.**

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.

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow.

**Job Title: Data Engineer for Financial Institutions**

**Salary:** $140,000 - $160,000 per year

We're looking for a highly skilled Data Engineer to join our Transaction Banking (TxB) team, specifically within the Data & Analytics Platform. As a key member of our global engineering team, you will be responsible for developing, testing, and rolling out data platform features that support our innovative solutions for traditional banking and lending activities.

Key Responsibilities:

  • Develop full stack applications with due consideration to security, design, validation and SDLC framework
  • Update and maintain documentation for team processes, best practices and software runbooks
  • Exceptional analytical skills and ability to apply knowledge and experience in decision-making to arrive at creative and commercial solutions

Requirements:

  • 2+ years of relevant professional experience using a modern programming language (preferably Java)
  • BS degree in Computer Science or related technical field involving programming or systems engineering
  • Proficiency in development with Java, springboot, REST APIs
  • Experience engineering solutions with distributed tracing, Performance testing, Authentication, Authorization
  • Proficiency with algorithms, data structures and software design
  • Experience with UNIX operating systems internals, infrastructure as code-Terraform and networking
  • Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB)
  • Experience in financial services specifically corporate cash management desirable
  • Experience with AWS services - Amazon MSK/Apache kafka, ECS/kubernetes, S3, IAM, AWS XRay
  • Comfort with Agile operating models (practical experience of Scrum / Kanban)


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