Builds and maintains domain-specific data pipelines and transformations that turn raw source data into trusted, certified datasets ready for analytics and AI.
Key Responsibilities
Develop and maintain ingestion and transformation pipelines
Implement business logic, cleansing, and deduplication
Create and maintain bronze silver gold data layers
Partner with data stewards on data quality and certification
Troubleshoot data issues and root causes
Optimize pipelines for reliability and performance
Core Skills & Experience
ETL/ELT development
SQL and data transformation frameworks
Data modeling (analytical and relational)
Understanding of data quality concepts
Familiarity with domain data (Customer, Dealer, Supplier, etc.)
What This Role Owns
Domain-specific ingestion and transformations
Business logic implementation
Dataset reliability for downstream use
What This Role Does Not Own
Platform architecture
Tool administration
Governance policy definition
Key Deliverables
Reliable data pipelines
Certified domain datasets
Transformation documentation
Success Measures
Stable, automated pipelines
Data quality issues reduced over time
Certified data available when promised
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