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.