Begin by connecting to your Snowflake instance using a SnowSQL client or a similar command-line tool provided by Snowflake. Use SQL queries to extract the data you need. Export this data to a CSV file or JSON format, as these are both easily readable formats for subsequent steps. For example, use the `COPY INTO` command to export data to a stage, which can then be downloaded locally.
```sql
COPY INTO 's3://your-bucket/your-folder/' FROM your_table
FILE_FORMAT = (TYPE = CSV);
```

Once the data is exported to a cloud storage bucket or stage, download it to your local machine. Use the appropriate tools like AWS CLI for S3, or direct download options provided by Snowflake's web interface, to retrieve the data files.
```bash
aws s3 cp s3://your-bucket/your-folder/ ./local-folder/ --recursive
```

With the data now local, ensure it is in a format suitable for DynamoDB. If the data is in CSV, consider converting it to JSON, as DynamoDB works well with JSON data. You can use scripts written in Python or a similar language to read the CSV file and output a JSON document. Ensure the JSON structure matches the schema of your DynamoDB table.

Ensure you have AWS CLI installed and configured with the necessary credentials to access DynamoDB. Create a DynamoDB table if not already set up, ensuring that you define the primary key (partition key and optionally a sort key) that aligns with your data.
```bash
aws dynamodb create-table --table-name YourTableName --attribute-definitions AttributeName=yourPrimaryKey,AttributeType=S --key-schema AttributeName=yourPrimaryKey,KeyType=HASH --provisioned-throughput ReadCapacityUnits=5,WriteCapacityUnits=5
```

Use the AWS CLI's `batch-write-item` command to load data into DynamoDB. Note that this operation can only handle up to 25 items at a time, so if you have more data, you'll need to batch the imports accordingly. Write a script (e.g., in Python) to iterate over your JSON file, packaging up to 25 items at a time, and use the `batch-write-item` to insert them into DynamoDB.
```bash
aws dynamodb batch-write-item --request-items file://your-data.json
```

Once the data is loaded, it's important to verify that it has been imported correctly. Use AWS CLI or AWS Management Console to query the DynamoDB table and check a sample of the data to ensure it matches the original data from Snowflake.
```bash
aws dynamodb scan --table-name YourTableName
```

If you need to perform this data transfer regularly, consider writing a script that automates all these steps. This script can include data extraction, conversion, and loading procedures. Use a task scheduler or cron job to run the script at regular intervals, ensuring that your DynamoDB table stays updated with the latest data from Snowflake.