Senior Data Engineer - Python/SQL

Requirements :

- Python (required) and SQL, shell scripting skills (nice to have).

- REST API service development experience using the FastAPI or Flask framework in Python.

- Hands-on experience in developing containerized multi-service applications on any cloud environment.

- Experience or basic knowledge in developing Snowflake Native Applications.

- Advanced Docker experience (volume mounts, compose yaml, container-to-container network, nvidia-docker).

- Experience with any cloud-based Kubernetes or container orchestration solution such as SPCS- Snowpark Container Services (preferred), ECS, EKS, GKE, Cloud Run, etc.

- Knowledge of deploying and serving LLMs on multi-node GPU clusters (Ray Serve, etc. ) (would be excellent to have).

- Develop robust REST API services using Python frameworks such as FastAPI or Flask.

- Build and maintain containerized multi-service applications deployed on cloud environments.

- Develop and deploy Snowflake Native Applications (experience or familiarity).

- Manage advanced Docker setups, including volume mounts, Compose YAML, container networking, and GPU-enabled containers (nvidia-docker).

- Utilize cloud-based Kubernetes or container orchestration platforms such as SPCS (Snowpark Container Services), ECS, EKS, GKE, Cloud Run, or equivalent.

- Collaborate with data science teams to deploy and serve large language models (LLMs) on multi-node GPU clusters using tools like Ray Serve (preferred).

- Participate in code reviews, troubleshooting, and performance optimization.

- Ensure data privacy, security compliance, and maintain best practices for cloud-native deployments.