Backend Developer / Data Engineer

Key technical requirements ∙Python Proficiency: Strong proficiency in Python, including writing clean, type-hinted, scalable, and testable code. Strong focus on code quality, maintainability, and engineering best practices. ∙Backend And Data Pipelines Development: Proficiency to develop REST applications with FastAPI. Experience with databases (e.g. PostgreSQL). Experience with designing and implementing ETL pipelines. ∙Development Practices: Strong knowledge of Git version control. Experience with GitHub Actions and building CI/CD pipelines. ∙Cloud / Platform Requirements: Strong knowledge of Docker and application containerization. Good understanding of core AWS services, particularly AWS Glue, AWS Batch, ECS, S3, and ECR.

Nice to have requirements ∙Observability: Basic knowledge of OpenTelemetry, including metrics, distributed tracing, logging, and observability best practices. ∙Platform & Security: Basic knowledge of Kubernetes and Helm Charts. Familiarity with OAuth 2.0 and modern authorization mechanisms. ∙Data & Architecture: Understanding of relational databases and data engineering best practices. Experience building cloud-native and microservices-based systems. ∙AI / Machine Learning: Interest in or experience working with AI/ML systems and LLM-based applications.