Related skills
data modeling data governance data quality metadata management data lake📋 Description
- Assess ingestion pipelines, storage, data models, and batch deps
- Identify root causes of data quality issues and lineage gaps
- Design scalable layered architecture for raw, standardized, and curated data
- Define canonical data models to standardize partner data
- Apply modeling approaches including dimensional, Data Vault, or hybrid
- Establish data validation, quality rules, and metadata standards
🎯 Requirements
- Advanced expertise in logical and physical data modeling
- Strong canonical data models and standardization experience
- Deep understanding of dimensional modeling (star/snowflake)
- Practical knowledge of Data Vault and hybrid modeling
- Experience transforming legacy platforms to data lake/lakehouse
- Proven ability to address data quality issues at scale
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