Data Engineering intermediate ⏱ 6–8 hours
Data Quality with Soda Core + Snowflake
Implement automated data quality checks on Snowflake using Soda Core to catch bad data before it reaches dashboards.
SodaData QualitySnowflakeMonitoring
View project on GitHub
What you’ll build
A data quality monitoring setup using Soda Core against a Snowflake warehouse: freshness checks, null rates, row count validation, and custom business rules. The same pattern data teams use to catch pipeline failures before they impact reports.
Skills you’ll practice
- Writing SodaCL checks: schema, missing, validity, anomaly
- Connecting Soda Core to Snowflake
- Integrating quality gates into a dbt or Airflow pipeline
- Interpreting scan results and alerting on failures