Data Engineer II - Python & Cloud

This role gives you the opportunity to:

• Collaborate on the design of scalable cloud infrastructure, utilizing Terraform to provision AWS resources (ECS, Lambda, S3) with a focus on resilience and reproducibility.
• Build high-performance, maintainable Python applications characterized by strict dependency management, comprehensive error handling, and high test coverage.
• Own the complete data journey: from ingestion to consumption; designing the API layers and backbones required to integrate GenAI into production.

What We Look for:

• 2–5 years of hands-on experience in Data Engineering or Backend Software Engineering.
• You are comfortable writing Python functions, handling JSON/API data, and using libraries like Pandas/PyArrow. You understand the difference between a "script" and a "software module".
• Experience with SQL and an understanding of how databases work (Primary Keys, Joins, Data Types).
• You prefer writing code over using drag-and-drop ETL tools.
• You are eager to learn DataOps practices (Docker, Git, CI/CD)

Nice to Have

• Experience with AWS (or equivalent cloud providers) and familiarity with IaC concepts (like Terraform) and a willingness to adopt these patterns is essential.
• Experience deploying LLMs or working with RAG architectures.
• Experience with FastAPI or building data-serving APIs.
• Background in SRE or DevOps.