Data QA

Develop and execute comprehensive test plans to validate data as it moves through the pipeline from Snowflake to other sources and vice versa. o Monitor and validate ETL processes to ensure data is accurately and efficiently loaded. o Automate data validation and data quality checks within the data pipeline using Soda.io, SQL, Python, and Snowflake tools. o Track, document, and manage data quality issues across the data pipeline and within Snowflake. o Collaborate with data engineers and pipeline developers to resolve data discrepancies and enhance data quality. o Document test plans, cases, and outcomes for data processes. o Regression testing of data platform.