Data Engineer, AI & Analytics
Summary
Build data marts, semantic layers, and dbt pipelines for marketing analytics while collaborating with product and client teams. Core work involves dbt modeling, Git/CI-CD practices, and defining metrics for AI-generated SQL.
- Build data marts and semantic layer
- Build ingestion handling API changes and rate limits
- Collaborate with product and client teams
- Create metric definitions for AI generated SQL
- Design, build, and maintain data pipelines
- Develop dbt models and incremental strategies
- Implement Git and CI CD practices
- Model marketing data sources
- Monitor and resolve data quality issues
- Optimize pipelines for cost and performance