Data Engineer (AWS / Snowflake / DBT)
Core
Build the foundation of production AI systems by creating critical data pipelines, Snowflake architectures, and data models designed to reduce LLM hallucinations for industrial clients.
Role type
Senior Data Engineer (AI/ML Infrastructure)
Builds
Production-grade data pipelines, real-time AI use case architectures, clean scalable datasets, and cloud environments feeding business AI products.
Domain
Industrial AI / Generative AI / Cloud Data Infrastructure
Deliverable
production ML models
Required skills
Advanced SQL, Data modeling, Cloud architecture (AWS), Data quality & structuring, Scalability design, LLM data optimization
Preferred skills
GCP/Azure/Databricks ecosystem knowledge, AI/GenAI curiosity, Modern data stack sensibility
Technologies
AWS, Snowflake, DBT, SQL
Responsibilities
Design and build critical data ingestion, transformation, and exposure pipelines; Architect Snowflake solutions for real-time AI use cases; Create data models specifically to mitigate LLM hallucinations; Develop scalable, industrializable datasets; Maintain modern cloud environments (AWS-first) to support business AI products.
Seniority
Mid-Senior, hands-on IC