Data Engineering intermediate ⏱ 10–15 hours
dbt Core + Snowflake Analytics Pipeline
Deploy a full dbt transformation platform from scratch with Snowflake, virtual environments, and Docker packaging.
dbtSnowflakeDockerAnalytics Engineering
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What you’ll build
A production-style dbt project targeting Snowflake: staging → intermediate → mart layers, scheduled runs, and the whole thing packed in a Docker container for portability.
Skills you’ll practice
- dbt project structure: sources, staging, marts, tests, docs
- Snowflake roles, warehouses, and schema management
- Running dbt inside Docker for reproducible environments
- Writing data tests and generating documentation
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