Improving Snowflake query performance involves optimizing SQL queries, reducing unnecessary data scans, and using efficient filtering techniques. Proper warehouse sizing, clustering, and query pruning can help queries run faster while controlling compute usage. Monitoring query history helps identify slow operations and performance bottlenecks. Practical learning can help data engineers develop effective optimization skills. Snowflake Training in Chennai at Qmatrix Technologies helps learners build practical Snowflake knowledge through hands-on training.