• Build production-grade data systems by writing clean, modular, well-tested Python code for data pipelines and platform services. • Design and maintain data models aligned with medallion architectures (bronze/silver/gold). • Build and maintain data workflows using Dagster (preferred) or Airflow. • Implement idempotent transformation logic using SQLMesh/Tobiko (preferred) or dbt. • Build, debug, and optimize Docker images for local and production environments. • Read and modify infrastructure-as-code using Terraform. • Document data flows, system architecture, and operational procedures clearly.