Key skills
AWSCloudETLGoogle Cloud PlatformPythonSQLAIAnalyticsGCPGoogle CloudCollaboration
About this role
Role Overview
- Architect and implement critical data foundations to fuel advanced analytics and AI initiatives.
- Design and build ETL processes in collaboration with software and model development teams.
- Create and maintain scalable data infrastructure.
- Own full pipeline and infrastructure lifecycle including performance monitoring and optimization.
- Maintain and improve existing pipelines, ensuring stability over existing requirements and adapting to new needs.
Requirements
- Expert proficiency in SQL for heavy utilization in building data assets and complex pipelines.
- Full proficiency in Python for data processing tasks and pipeline integration.
- Experience manipulating, aggregating, and expanding large-scale data assets.
- Proven experience with cloud solutions, specifically Google Cloud Platform (GCP) or AWS.
Tech Stack
- AWS
- Cloud
- ETL
- Google Cloud Platform
- Python
- SQL
Benefits
- 100% employer paid medical premiums for employees
- Self-managed PTO with a minimum time off requirement