diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReader.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReader.java
index cbb7df4468b..1ffeb2a4994 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReader.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReader.java
@@ -25,7 +25,6 @@
 import java.util.List;
 import java.util.Map;
 import java.util.NoSuchElementException;
-import java.util.Properties;
 import java.util.concurrent.TimeUnit;
 import org.apache.logging.log4j.LogManager;
 import org.apache.logging.log4j.Logger;
@@ -67,14 +66,14 @@ public class VenicePubsubInputPartitionReader implements PartitionReader<Interna
   // the buffer that holds the relevant messages for the current partition
   private List<PubSubMessage<KafkaKey, KafkaMessageEnvelope, Long>> partitionMessagesBuffer = new ArrayList<>();
 
-  public VenicePubsubInputPartitionReader(Properties jobConfig, VenicePubsubInputPartition inputPartition) {
+  public VenicePubsubInputPartitionReader(VeniceProperties jobConfig, VenicePubsubInputPartition inputPartition) {
     this(
         jobConfig,
         inputPartition,
-        new PubSubClientsFactory(new VeniceProperties(jobConfig)).getConsumerAdapterFactory() // need to review the
+        new PubSubClientsFactory(jobConfig).getConsumerAdapterFactory() // need to review the
             // properties bag ...
             .create(
-                new VeniceProperties(jobConfig),
+                jobConfig,
                 false,
                 PubSubMessageDeserializer.getInstance(),
                 // PubSubPassThroughDeserializer.getInstance(),
@@ -84,7 +83,7 @@ public VenicePubsubInputPartitionReader(Properties jobConfig, VenicePubsubInputP
 
   // testing constructor
   public VenicePubsubInputPartitionReader(
-      Properties jobConfig,
+      VeniceProperties jobConfig,
       VenicePubsubInputPartition inputPartition,
       PubSubConsumerAdapter consumer,
       PubSubTopicRepository pubSubTopicRepository) {
diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderFactory.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderFactory.java
index b8ad293e74f..41ce7e27986 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderFactory.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderFactory.java
@@ -1,6 +1,6 @@
 package com.linkedin.venice.spark.input.pubsub.table;
 
-import java.util.Properties;
+import com.linkedin.venice.utils.VeniceProperties;
 import org.apache.spark.sql.catalyst.InternalRow;
 import org.apache.spark.sql.connector.read.InputPartition;
 import org.apache.spark.sql.connector.read.PartitionReader;
@@ -10,9 +10,9 @@
 public class VenicePubsubInputPartitionReaderFactory implements PartitionReaderFactory {
   private static final long serialVersionUID = 1L;
 
-  private final Properties jobConfig;
+  private final VeniceProperties jobConfig;
 
-  public VenicePubsubInputPartitionReaderFactory(Properties jobConfig) {
+  public VenicePubsubInputPartitionReaderFactory(VeniceProperties jobConfig) {
     this.jobConfig = jobConfig;
   }
 
diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScan.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScan.java
index 8b8d1f8c209..f70490bfba3 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScan.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScan.java
@@ -1,5 +1,7 @@
 package com.linkedin.venice.spark.input.pubsub.table;
 
+import static com.linkedin.venice.vpj.VenicePushJobConstants.*;
+
 import com.linkedin.venice.exceptions.VeniceException;
 import com.linkedin.venice.pubsub.PubSubClientsFactory;
 import com.linkedin.venice.pubsub.PubSubTopicPartitionInfo;
@@ -15,7 +17,6 @@
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
-import java.util.Properties;
 import org.apache.spark.sql.connector.read.Batch;
 import org.apache.spark.sql.connector.read.InputPartition;
 import org.apache.spark.sql.connector.read.PartitionReaderFactory;
@@ -24,27 +25,26 @@
 
 
 public class VenicePubsubInputScan implements Scan, Batch {
-  private final Properties jobConfig;
+  private final VeniceProperties jobConfig;
 
-  public VenicePubsubInputScan(Properties jobConfig) {
+  public VenicePubsubInputScan(VeniceProperties jobConfig) {
     this.jobConfig = jobConfig;
   }
 
   @Override
   public InputPartition[] planInputPartitions() {
     try {
-      String topicName = "test_topic_v_1";
-      String regionName = "ei-ltx1";
+      String topicName = jobConfig.getString(KAFKA_INPUT_TOPIC);
+      String regionName = jobConfig.getString(KAFKA_INPUT_FABRIC);
       int splitCount = 1000;
-      VeniceProperties veniceProperties = new VeniceProperties(jobConfig);
       PubSubTopicRepository pubSubTopicRepository = new PubSubTopicRepository();
       PubSubTopic pubSubTopic = pubSubTopicRepository.getTopic(topicName);
-      PubSubClientsFactory clientsFactory = new PubSubClientsFactory(veniceProperties);
+      PubSubClientsFactory clientsFactory = new PubSubClientsFactory(jobConfig);
       // PubSubAdminAdapter pubsubAdminClient =
       // clientsFactory.getAdminAdapterFactory().create(veniceProperties, pubSubTopicRepository);
       PubSubMessageDeserializer pubSubMessageDeserializer = PubSubMessageDeserializer.getInstance();
       PubSubConsumerAdapter pubSubConsumer = clientsFactory.getConsumerAdapterFactory()
-          .create(veniceProperties, false, pubSubMessageDeserializer, "Spark_KIF_planner");
+          .create(jobConfig, false, pubSubMessageDeserializer, "Spark_KIF_planner");
 
       // surround by retries from retryUtils or something
       List<PubSubTopicPartitionInfo> listOfPartitions = pubSubConsumer.partitionsFor(pubSubTopic);
diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScanBuilder.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScanBuilder.java
index 54fb008b6e2..b2a0dc77c0f 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScanBuilder.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputScanBuilder.java
@@ -1,14 +1,14 @@
 package com.linkedin.venice.spark.input.pubsub.table;
 
-import java.util.Properties;
+import com.linkedin.venice.utils.VeniceProperties;
 import org.apache.spark.sql.connector.read.Scan;
 import org.apache.spark.sql.connector.read.ScanBuilder;
 
 
 public class VenicePubsubInputScanBuilder implements ScanBuilder {
-  private final Properties jobConfig;
+  private final VeniceProperties jobConfig;
 
-  public VenicePubsubInputScanBuilder(Properties properties) {
+  public VenicePubsubInputScanBuilder(VeniceProperties properties) {
     this.jobConfig = properties;
   }
 
diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputTable.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputTable.java
index d3f1bba9e7d..568778c098b 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputTable.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputTable.java
@@ -31,7 +31,8 @@ public ScanBuilder newScanBuilder(CaseInsensitiveStringMap options) {
     Properties properties = jobConfig.getPropertiesCopy();
     properties.putAll(options.asCaseSensitiveMap());
 
-    return new VenicePubsubInputScanBuilder(properties); // should we flip this to VeniceProperties?
+    return new VenicePubsubInputScanBuilder(new VeniceProperties(properties)); // should we flip this to
+                                                                               // VeniceProperties?
   }
 
   @Override
diff --git a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubSource.java b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubSource.java
index 784068b1504..e02aa0577d8 100644
--- a/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubSource.java
+++ b/clients/venice-push-job/src/main/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubSource.java
@@ -25,9 +25,9 @@ public Transform[] inferPartitioning(CaseInsensitiveStringMap options) {
   }
 
   @Override
-  public Table getTable(StructType schema, Transform[] partitioning, Map<String, String> sparkConfigs) {
+  public Table getTable(StructType schema, Transform[] partitioning, Map<String, String> configs) {
     Properties properties = new Properties();
-    properties.putAll(sparkConfigs);
+    properties.putAll(configs);
     // the properties here is the entry point for all the configurations
     // we receive from the outer layer.
     // schem and partitioning are useless and should be discarded?
diff --git a/clients/venice-push-job/src/test/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderTest.java b/clients/venice-push-job/src/test/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderTest.java
index 1f8faa5dd2b..aa04fbda3e8 100644
--- a/clients/venice-push-job/src/test/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderTest.java
+++ b/clients/venice-push-job/src/test/java/com/linkedin/venice/spark/input/pubsub/table/VenicePubsubInputPartitionReaderTest.java
@@ -17,6 +17,7 @@
 import com.linkedin.venice.pubsub.api.PubSubMessage;
 import com.linkedin.venice.pubsub.api.PubSubTopicPartition;
 import com.linkedin.venice.storage.protocol.ChunkedKeySuffix;
+import com.linkedin.venice.utils.VeniceProperties;
 import java.nio.ByteBuffer;
 import java.util.ArrayList;
 import java.util.HashMap;
@@ -83,7 +84,11 @@ public void setUp() {
     inputPartition =
         new VenicePubsubInputPartition("prod-lva2", topicName, targetPartitionNumber, startingOffset, endingOffset);
 
-    reader = new VenicePubsubInputPartitionReader(jobConfig, inputPartition, consumer, pubSubTopicRepository);
+    reader = new VenicePubsubInputPartitionReader(
+        new VeniceProperties(jobConfig),
+        inputPartition,
+        consumer,
+        pubSubTopicRepository);
   }
 
   @Test