可以使用Apache Beam SDK for Python在AWS Glue上运行数据处理作业。需要使用AWS Glue Python Shell作业类型，并在作业代码中导入beam模块。以下是一个示例代码：

import sys
import logging
import apache_beam as beam
from apache_beam.options.pipeline_options import PipelineOptions, StandardOptions


def run_pipeline(argv=None):
    """Example pipeline"""
    pipeline_options = PipelineOptions(argv)
    pipeline_options.view_as(StandardOptions).runner = 'DataflowRunner'

    with beam.Pipeline(options=pipeline_options) as p:
        # PCollection of tuples ('key', 'value')
        input_data = p | 'Read from S3' >> beam.io.ReadFromText('s3://bucket/input-data.csv')

        # PCollection of strings
        transformed_data = input_data | 'Transform Data' >> beam.Map(lambda row: row.upper())

        # Write to S3
        transformed_data | 'Write to S3' >> beam.io.WriteToText('s3://bucket/output-data.csv')

if __name__ == '__main__':
    logging.getLogger().setLevel(logging.INFO)
    run_pipeline(sys.argv[1:])

该示例代码为一个简单的Apache Beam处理作业，可以从S3中读取输入数据，将其转换为大写字母，然后将其写回到S3中。要在AWS Glue上运行作业，只需将此代码保存在作业脚本中并上传到AWS Glue。