Internal Audit-IA Data Strategy & Analytics-New York-Associate

The Goldman Sachs Group Inc

New York, NY, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

1 year minimum

Working hours

Regular working hours

Job source

diversityjobs.com

Tech stack

Query Performance JavaScript (Programming Language) Data Analysis Unit Testing Code Review DevOps Django Web Framework Python (Programming Language) NumPy Scrum Methodology Standard Sql Swagger

+26 more

Software Deployment SQL Databases Management of Software Versions Website Wireframe Openapi Test-Driven Development (TDD) ReactJS Flask (Web Framework) Snowflake Kubernetes Helm Charts Data Strategy Gitlab Git Fastapi Containerization Git Flow Integration Tests Kubernetes Information Technology Data Analytics Front End Software Development Api Design Restful APIs Pagination Software Version Control Docker

Job description

Design, develop, test, and maintain Python-based applications, services, and automation that power analytical and audit workflows.
Build and expose well-documented, secure RESTful APIs (Flask or similar frameworks) that serve data to internal applications and downstream consumers.
Develop responsive, intuitive user interfaces using React and JavaScript, translating business requirements and wireframes into production-grade components.
Design and refine data models- logical and physical- and write efficient SQL to support reporting, analytics, and application needs.
Manage source control, code reviews, and automated build/test/deploy workflows in GitLab, contributing to and improving CI/CD pipelines.
Package and deploy applications to containerized environments, working with the platform team to promote code across environments reliably and repeatably.
Champion engineering quality through unit tests, integration tests, and Test-Driven Development (TDD).
Partner closely with product owners, and audit stakeholders in a global, distributed Agile/Scrum setting to deliver iteratively.
Proactively identify opportunities to improve performance, reliability, maintainability, and developer experience.

Requirements

Education: Bachelor’s degree (or higher) in Computer Science, Engineering, or a related technical discipline.
Overall Experience: 3- 5 years of professional software engineer experience.
Python: 3- 5 years of strong, hands-on Python development experience building production applications and exposure to data analytics tooling (pandas, NumPy).
Front-End: 1- 2 years of hands-on experience building UIs with React and modern JavaScript.
SQL & Data Modelling: Solid SQL skills and a good understanding of data modelling concepts- normalization, relational/dimensional design, schema evolution, and query performance.
Version Control & DevOps: Hands-on experience with GitLab and strong grasp of core Git concepts (branching strategies, merge requests, rebasing, conflict resolution) plus practical exposure to CI/CD pipelines.
Testing: Demonstrated experience implementing unit tests, integration tests, and applying Test-Driven Development.
Ways of Working: Proven track record operating in a fast-paced Agile/Scrum setup with a global/remote team.

Preferred / Good to Have

Experience designing and developing Flask-based REST APIs (or FastAPI/Django REST Framework).
Working knowledge of deploying code to a Kubernetes cluster - building container images, writing/maintaining deployment manifests or Helm charts, and troubleshooting pods, services, and rollouts.
Experience with containerization using Docker and automating deployments through CI/CD pipelines.
Familiarity with API design best practices- versioning, authentication/authorization, pagination, error handling, and OpenAPI/Swagger documentation.
Understanding of cloud platforms such as Snowflake.
Prior experience in financial services, risk, or Internal Audit domains.