Senior AI Data Engineer
Tasks
- Build ETL and ELT pipelines
- Build data models for standardized KPIs
- Capture metadata and data lineage
- Design ingestion pipelines for POS systems
- Enable AI systems with structured context
- Ensure data accuracy and completeness
- Implement data validation and monitoring
- Implement semantic layer for business context
- Integrate back office vendor data
- Normalize and standardize multi source data
- Optimize pipeline performance reliability and cost
- Support batch and real-time processing
- Support schema evolution and versioning
Perks/Benefits
Skills/Tech-stack
APIs | Apache Airflow | Cloud Data | Cloud Data Platforms | DBT | Data Lineage | Data Modeling | Data Quality | Data Validation | Data platforms | ELT | ETL | Metadata Management | Python | SQL | Semantic layer | Streaming
Education
N/A
Roles
AI | AI Data Engineer | Data Engineer | Engineer | Senior AI Data Engineer
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