def METHOD_NAME(elasticsearch_index_alias='table_search_index',
                                   elasticsearch_doc_type_key='table',
                                   model_name='databuilder.models.table_elasticsearch_document.TableESDocument',
                                   cypher_query=None,
                                   elasticsearch_mapping=None):
    """
    :param elasticsearch_index_alias:  alias for Elasticsearch used in
                                       amundsensearchlibrary/search_service/config.py as an index
    :param elasticsearch_doc_type_key: name the ElasticSearch index is prepended with. Defaults to `table` resulting in
                                       `table_search_index`
    :param model_name:                 the Databuilder model class used in transporting between Extractor and Loader
    :param cypher_query:               Query handed to the `Neo4jSearchDataExtractor` class, if None is given (default)
                                       it uses the `Table` query baked into the Extractor
    :param elasticsearch_mapping:      Elasticsearch field mapping "DDL" handed to the `ElasticsearchPublisher` class,
                                       if None is given (default) it uses the `Table` query baked into the Publisher
    """
    # loader saves data to this location and publisher reads it from here
    extracted_search_data_path = '/var/tmp/amundsen/search_data.json'
    task = DefaultTask(loader=FSElasticsearchJSONLoader(),
                       extractor=Neo4jSearchDataExtractor(),
                       transformer=NoopTransformer())
    # elastic search client instance
    elasticsearch_client = es
    # unique name of new index in Elasticsearch
    elasticsearch_new_index_key = 'tables' + str(uuid.uuid4())
    job_config = ConfigFactory.from_dict({
        f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.GRAPH_URL_CONFIG_KEY}': neo4j_endpoint,
        f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.MODEL_CLASS_CONFIG_KEY}': model_name,
        f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.NEO4J_AUTH_USER}': neo4j_user,
        f'extractor.search_data.extractor.neo4j.{Neo4jExtractor.NEO4J_AUTH_PW}': neo4j_password,
        f'loader.filesystem.elasticsearch.{FSElasticsearchJSONLoader.FILE_PATH_CONFIG_KEY}': extracted_search_data_path,
        f'loader.filesystem.elasticsearch.{FSElasticsearchJSONLoader.FILE_MODE_CONFIG_KEY}': 'w',
        f'publisher.elasticsearch.{ElasticsearchPublisher.FILE_PATH_CONFIG_KEY}': extracted_search_data_path,
        f'publisher.elasticsearch.{ElasticsearchPublisher.FILE_MODE_CONFIG_KEY}': 'r',
        f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_CLIENT_CONFIG_KEY}':
            elasticsearch_client,
        f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_NEW_INDEX_CONFIG_KEY}':
            elasticsearch_new_index_key,
        f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_DOC_TYPE_CONFIG_KEY}':
            elasticsearch_doc_type_key,
        f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_ALIAS_CONFIG_KEY}':
            elasticsearch_index_alias,
    })
    # only optionally add these keys, so need to dynamically `put` them
    if cypher_query:
        job_config.put(f'extractor.search_data.{Neo4jSearchDataExtractor.CYPHER_QUERY_CONFIG_KEY}',
                       cypher_query)
    if elasticsearch_mapping:
        job_config.put(f'publisher.elasticsearch.{ElasticsearchPublisher.ELASTICSEARCH_MAPPING_CONFIG_KEY}',
                       elasticsearch_mapping)
    job = DefaultJob(conf=job_config,
                     task=task,
                     publisher=ElasticsearchPublisher())
    return job