AI Data Engineer
Tasks
- Build end-to-end data pipelines
- Consolidate fragmented data sources
- Deliver production ready datasets for AI features
- Design data models and marts
- Implement Looker semantic layer models
- Monitor data quality and resolve issues
- Partner with ML engineers to build AI infrastructure
- Transform raw data for AI products
- Use AI workflows for embeddings and RAG
Perks/Benefits
- DEI initiatives opportunities
- Fully remote or hybrid work
- Healthcare stipend
- National holidays
- Paid mental health recharge days
- Professional development programs
- Unlimited time off
Skills/Tech-stack
AWS | AWS EventBridge | AWS Lambda | AWS S3 | Automated testing | CI/CD | Data Modeling | Data Quality | Data quality monitoring | Embeddings | Git | Looker | Python | Quality monitoring | RAG | SQL | Snowflake | Vector Databases
Education
N/A
Roles
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