Data Engineer supporting, developing, and maintaining a data analytics platform with agile delivery. Working with business and IT teams to leverage data technologies effectively.
About the role
- Data Engineer developing and maintaining infrastructure for analytics at Waitwhile. Responsible for data lifecycle management, API availability, and AI operationalization.
Responsibilities
- Launch and maintain a scalable semantic data layer that reflects an updated view of our customers' reporting needs and has connectivity to AI tools
- Scope and deploy infrastructure for a production-facing AI feature
- Maintain high availability for the analytics and reporting API endpoints serving the Waitwhile application
- Maintain and improve the ML-based wait estimation implementation
- Ensure strict anonymization, masking, and necessary separation of customer data, with zero leakage of tenant data
Requirements
- 5+ years of experience as a Data Engineer or similar role
- Strong familiarity with Google Cloud Platform services, specifically BigQuery and Vertex AI, along with SQL
- Hands-on experience with data transformation tools like DBT or Dataform
- Theoretical understanding of semantic data layer tools, such as Cube.js or LookML
- Master of Science in an applicable field
- Knowledge of JavaScript/TypeScript and NodeJS (bonus)
Benefits
- Health benefits
- Retirement packages
- Generous time-off policies
- Flexible working hours
- Professional growth opportunities
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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