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.