Full Stack Data Engineer

Role Overview :

We are looking for an AI-forward Full Stack Engineer who is comfortable working across the data lifecycle - from source ingestion and transformation through database design, APIs, and modern front-end experiences.

Tech Stack & Requirements :

- 6 - 9 years of professional software engineering experience, with hands-on experience across both backend/data engineering and front-end development.

- Strong programming skills in Python, with experience building production-quality data pipelines, services, or applications.

- Experience developing modern web applications using React and JavaScript/TypeScript.

- Strong SQL skills and practical experience designing, querying, and optimizing relational or analytical database structures.

- Experience with Azure, Snowflake, and Azure Kubernetes Service (AKS) is required.

- Experience developing or consuming REST and/or GraphQL APIs.

- Experience using modern AI development tools such as Codex, Claude, Cursor, GitHub Copilot, or similar.

- Familiarity with accounting systems is mandatory.

- Domain knowledge in front-office workflows, including risk, trading, and positions.

Nice-to-haves :

- Experience with Snowflake performance optimization and data modeling.

- Experience with near-real-time or event-driven financial data.

- Familiarity with Spark or other distributed data-processing frameworks.

- Exposure to AI/LLM application development.

Skills

Full Stack, Data Engineering, Python, React.js, SQL, Azure, Snowflake DB, Javascript, Transformation Management