Found Description
Responsibilities
- Design and implement dimensional and relational data models (star/snowflake schemas) that support scalable, performant analytics across business domains.
- Develop, document, and maintain transformation logic that converts raw source data into clean, conformed, and business-ready datasets.
- Write and optimize complex SQL queries and dbt models for data manipulation, aggregation, and layered transformation within the data warehouse.
- Define and enforce data standards, naming conventions, and modeling best practices to ensure consistency across the warehouse.
- Collaborate with stakeholders to translate business logic into well-structured data models that are intuitive and reusable.
- Evaluate and refine existing models over time as business needs evolve, ensuring models remain accurate, efficient, and well-documented.
- Design, develop, and maintain Python scripts for extracting and loading data fro...