Tech Stack
CloudDockerGoogle Cloud PlatformKubernetesPythonSQL
About the role
- Culmen International is seeking a Data Engineer to support Culmen's Premise Data Platform.
- The Premise Data Platform is a global collection capability that offers end to end mobile based data including quality control and insight delivery, powered by AI.
- Work includes building data pipelines, creating data quality checks, devising data marts, and developing back-end systems/applications to build a robust data platform with opportunity to integrate LLMs into data pipelines.
- Collaborate with data scientists, analysts, operations, product managers, sales and customer success to define data product direction.
- All work would be done on GCP - GCP knowledge is preferred.
Requirements
- BS/MS in a quantitative field such as Engineering, Computer Science, etc. or equivalent work experience & analytical skills.
- 3 years of full-time experience in a data-oriented role, with at least 2 years in data engineering.
- Advanced experience in Python.
- Experience in containers, docker, Kubernetes.
- Experience working with LLMs, Computer Vision and Machine Learning toolsets.
- Strong SQL skills and database management experience.
- Strong GIS experience or related BS/MS background.
- Advanced experience with building high efficiency data models with GIS related data.
- Experience with Google Cloud Platform.
- Experience collaborating with diverse teams, customers, and stakeholders.