Position Overview
Responsibilities - Develop and maintain scalable solutions using Python, PySpark, and SQL.
- Design and implement data pipelines (ingestion, transformation, modelling, data quality checks, automation).
- Build and integrate APIs (REST, SOAP, gRPC), including authentication and authorization.
- Contribute to application architecture design, applying best practices and design patterns.
- Implement Test-Driven Development (TDD) and ensure high code quality.
- Support and enhance CI/CD pipelines and DevOps processes.
- Work with cloud platforms (AWS, Azure) and data platforms such as Databricks and Palantir Foundry.
- Develop UI components and dashboards using Dash, JavaScript, and React.
- Integrate with market data and investment platforms.
- Support quantitative models and analytics (Monte Carlo simulations, pricing, risk, factor modelling).
- Contribute to portfolio management processes (asse...