You turn messy data into clean models that analysts, dashboards and machine learning tools can rely on. You work closely with data engineers to connect source data and keep things running smoothly. You also team up with analysts and product owners to understand what they really need. * Build clean, tested, and scalable data models using dbt and SQL. * Talk with analysts and product owners to understand what data they need. * Team up with data engineers to improve pipelines and data architecture. * Make sure datasets are accurate, well-documented, and ready to use. * Use engineering practices like version control, CI/CD, and peer reviews. * Share knowledge with teammates through reviews, coaching, and docs. * Structure data for performance, usability, and maintainability. * Write clean code and clear documentation for long-term use. * Work closely with both tech teams and business stakeholders.
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