Data Engineer

• Proficiency with Pydantic and data validation in FastAPI.
• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Familiarity with CI/CD pipelines and tools.
• Knowledge of API design and implementation.
• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, other).
• Knowledge of security best practices in microservices architecture.
• Familiarity with version control systems (e.g., Git) and collaborative development workflows.

Requirements

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 4+ years of proven experience in leading technical teams and building applications using microservice architecture.
• Extensive experience with Python and FastAPI.
• Strong understanding of microservices principles and components such as logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling.

Nice to Have :

• Experience working with Retriever models, including implementation of chunking strategies.
• Knowledge and use of vector databases.
• Understanding of optimal approaches in querying LLM models via API.
• Prompt engineering knowledge, with familiarity in different strategies.
• Exposure to various prompt engineering techniques in different scenario