5+ QA experience and 3+ data testing

• Develop, maintain, and execute test cases to validate the accuracy, completeness, and consistency of data across different layers of the data warehouse.
  
• Test ETL processes to ensure that data is correctly extracted, transformed, and loaded from source to target systems while adhering to business rules
  
• Perform source-to-target data validation to ensure data integrity and identify any discrepancies or data quality issues.
  
• Develop automated data validation scripts using SQL, Python, or testing frameworks to streamline and scale testing efforts.
  
• Conduct testing in cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake), ensuring performance and scalability.
  
• Familiarity with ETL testing tools and frameworks (e.g., Informatica, Talend, dbt).
  
• Experience with scripting languages to automate data testing.
  
• Familiarity with data visualization tools like Tableau, Power BI, or Looker.
  

more pointers:

We need to focus on hiring Data QA professionals. Here are the expectations for the role: 

• Experience with Snowflake. 
  
• Experience working with JSON data and transforming it into table format.
  
•  Incremental data testing. (Optional but good to have.) 
  
• Automation experience using Python, Java, or JavaScript with tools like TestComplete. 
  
• Experience with data visualization tools (e.g., Tableau, Power BI, or Looker). 
  
• Experience conducting testing in cloud-based data platforms (e.g., AWS Redshift, Google BigQuery, Snowflake) to ensure performance and scalability.