diff --git a/backends-velox/src/test/scala/org/apache/spark/sql/execution/VeloxParquetWriteSuite.scala b/backends-velox/src/test/scala/org/apache/spark/sql/execution/VeloxParquetWriteSuite.scala
index ce3b0852f6f0..4c76c753b90e 100644
--- a/backends-velox/src/test/scala/org/apache/spark/sql/execution/VeloxParquetWriteSuite.scala
+++ b/backends-velox/src/test/scala/org/apache/spark/sql/execution/VeloxParquetWriteSuite.scala
@@ -20,7 +20,11 @@ import org.apache.gluten.execution.VeloxWholeStageTransformerSuite
 import org.apache.gluten.test.FallbackUtil
 
 import org.apache.spark.SparkConf
+import org.apache.spark.util.Utils
 
+import org.apache.hadoop.fs.Path
+import org.apache.parquet.hadoop.ParquetFileReader
+import org.apache.parquet.hadoop.util.HadoopInputFile
 import org.junit.Assert
 
 class VeloxParquetWriteSuite extends VeloxWholeStageTransformerSuite {
@@ -50,17 +54,11 @@ class VeloxParquetWriteSuite extends VeloxWholeStageTransformerSuite {
     }
   }
 
-  testWithSpecifiedSparkVersion("test write parquet with compression codec", Some("3.2")) {
+  test("test write parquet with compression codec") {
     // compression codec details see `VeloxParquetDatasource.cc`
     Seq("snappy", "gzip", "zstd", "lz4", "none", "uncompressed")
       .foreach {
         codec =>
-          val extension = codec match {
-            case "none" | "uncompressed" => ""
-            case "gzip" => "gz"
-            case _ => codec
-          }
-
           TPCHTableDataFrames.foreach {
             case (_, df) =>
               withTempPath {
@@ -69,15 +67,25 @@ class VeloxParquetWriteSuite extends VeloxWholeStageTransformerSuite {
                     .format("parquet")
                     .option("compression", codec)
                     .save(f.getCanonicalPath)
-                  val files = f.list()
-                  assert(files.nonEmpty, extension)
-
-                  if (!isSparkVersionGE("3.4")) {
-                    assert(
-                      files.exists(_.contains(extension)),
-                      extension
-                    ) // filename changed in spark 3.4.
+                  val expectedCodec = codec match {
+                    case "none" => "uncompressed"
+                    case _ => codec
                   }
+                  val parquetFiles = f.list((_, name) => name.contains("parquet"))
+                  assert(parquetFiles.nonEmpty, expectedCodec)
+                  assert(
+                    parquetFiles.forall {
+                      file =>
+                        val path = new Path(f.getCanonicalPath, file)
+                        val in = HadoopInputFile.fromPath(path, spark.sessionState.newHadoopConf())
+                        Utils.tryWithResource(ParquetFileReader.open(in)) {
+                          reader =>
+                            val column = reader.getFooter.getBlocks.get(0).getColumns.get(0)
+                            expectedCodec.equalsIgnoreCase(column.getCodec.toString)
+                        }
+                    },
+                    expectedCodec
+                  )
 
                   val parquetDf = spark.read
                     .format("parquet")