可以尝试手动添加Snowflake连接器的依赖项，以防止在作业启动时无法下载。下面是添加该依赖项的示例代码：

import sys
from awsglue.utils import getResolvedOptions
from awsglue.dynamicframe import DynamicFrame
from awsglue.context import GlueContext

glue_context = GlueContext(SparkContext.getOrCreate())
args = getResolvedOptions(sys.argv, ['JOB_NAME'])

sc = SparkContext.getOrCreate()
sc._jsc.hadoopConfiguration().set("fs.s3.awsAccessKeyId", "")
sc._jsc.hadoopConfiguration().set("fs.s3.awsSecretAccessKey", "")

# 添加Snowflake连接器依赖项
sc._jvm.com.databricks.addons.SnowflakeInitiator().initializeSparkSession(sc._jvm.org.apache.spark.sql.SparkSession.builder().getOrCreate())

dynamic_frame = DynamicFrame.from_options(connection_type="snowflake", connection_options={
        "sfUrl": "",
        "sfUser": "",
        "sfPassword": "",
        "sfDatabase": "",
        "sfSchema": "",
        "sfWarehouse": ""
}, transformation_ctx="snowflake_output")

glue_context.write_dynamic_frame.from_options(frame = dynamic_frame, connection_type="s3", connection_options={
        "path": "s3://",
        "partitionKeys": [""]
}, format = "csv", transformation_ctx="s3_output")

job.commit()

在代码中，使用以下行添加Snowflake连接器依赖项：

sc._jvm.com.databricks.addons.SnowflakeInitiator().initializeSparkSession(sc._jvm.org.apache.spark.sql.SparkSession.builder().getOrCreate())

此外，还需要在代码中使用包含AWS凭证的密钥对访问S3。 在您的代码中使用您自己的访问凭证。