Snowflake's query processing engine has a distinctive way of evaluating and parsing SQL queries, which can lead to "missing column specification" errors when creating tables or views using SELECT statements with calculated fields. These errors occur due to Snowflake's requirement for explicit column aliases in such cases, unlike other database platforms that allow implicit aliasing. To resolve this error, developers must add a column alias to the calculated field, as demonstrated by an example query that fixes the issue and executes successfully. Understanding this nuance is crucial for businesses moving towards being data-driven, as it highlights the importance of explicit aliasing in Snowflake's SQL syntax.