Unlock the power of DBT (Data Build Tool) and Snowflake to build efficient, testable, and maintainable data pipelines. This course is designed for data analysts, engineers, and ETL developers who want to move to the modern data stack and streamline SQL-based data transformation workflows.
You’ll start from the basics—understanding what DBT is and why it matters—and move toward hands-on experience with both DBT Cloud and DBT Core. Learn to connect DBT to Snowflake, build and run models, perform data testing, use Jinja for dynamic logic, and manage your entire transformation layer using version control and modular design.
You’ll also dive into more advanced topics like macros, materializations, snapshots, and hooks—learning how to automate, scale, and maintain robust data workflows in production environments. Real-world use cases and examples are provided to help reinforce your learning and apply concepts confidently in your own data engineering projects.
