[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-aws-emr-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Faws-emr":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Faws-emr":152,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Faws-emr":279},{},{"total":5,"jobs":6},4,[7,78,117,139],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":57,"processed_job_expertise_skills_labels":58,"max_cpc":77,"actual_cpc":77},88170,"staff-data-engineer-hybrid-hartford-fire-ins-co","Staff Data Engineer - Hybrid",null,false,{"name":14,"slug":15,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[17],"Hartford",[19],"US","hybrid",125760,188640,"USD","estimated",[26],"FULL_TIME","permanent",{"aws":5,"etl":5,"sql":5,"qlik":29,"azure":29,"ci\u002Fcd":29,"nosql":29,"spark":5,"aws s3":29,"github":29,"oracle":29,"python":5,"aws dms":29,"aws emr":29,"pyspark":5,"ai tools":30,"big data":5,"openflow":29,"shareplex":29,"snowflake":5,"aws lambda":29,"aws bedrock":30,"google vertex":30,"informatica cloud":29,"informatica powercenter":29},3,2,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56],"SQL","NoSQL","ETL","CI\u002FCD","Big Data","AWS","Azure","Python","Spark","Snowflake","Oracle","Informatica Cloud","Informatica PowerCenter","GitHub","Qlik","Shareplex","OpenFlow","AWS DMS","PySpark","AWS EMR","AWS S3","AWS Lambda","AI Tools","AWS Bedrock","Google Vertex",{"roadmaps":29,"data lake":29,"data mesh":29,"data fabric":29,"data mining":29,"data quality":5,"data cleansing":5,"data engineering":5,"data warehousing":5,"project strategy":29,"cloud architecture":5,"portfolio strategy":29,"distributed systems":5,"solution architecture":5,"big data methodologies":5,"data science algorithms":29,"data processing pipelines":5,"technical requirements documentation":5},[59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"Data Engineering","Distributed Systems","Data Warehousing","Data Mesh","Data Lake","Data Fabric","Solution Architecture","Data Cleansing","Data Quality","Technical Requirements Documentation","Cloud Architecture","Big Data Methodologies","Data Processing Pipelines","Data Mining","Data Science Algorithms","Project Strategy","Portfolio Strategy","Roadmaps",1,{"id":79,"slug":80,"title":81,"raw_title":11,"is_featured":12,"company":82,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":85,"processed_country_iso_code_gmaps":86,"processed_home_office":88,"processed_salary_min":89,"processed_salary_max":90,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":92,"processed_employment_types":27,"processed_it_skills":93,"processed_it_skills_labels":94,"processed_job_expertise_skills":109,"processed_job_expertise_skills_labels":110,"max_cpc":77,"actual_cpc":77},69429,"data-engineering-associate-ii-4-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-4",{"name":83,"slug":84,"logo_url":11},"BANCO PROVINCIAL, S.A.","banco-provincial-sa",[],[87],"Venezuela","onsite",30000,50000,"EUR",[26],{"git":29,"sql":5,"hdfs":29,"linux":29,"aws s3":29,"docker":29,"hadoop":29,"podman":29,"python":5,"aws emr":29,"aws iam":29,"pyspark":5,"aws glue":29,"aws athena":29,"aws lambda":29,"apache spark":5,"aws sagemaker":29,"bash scripting":29,"etl\u002Felt pipelines":5,"big data ecosystems":29},[39,50,95,32,96,97,98,99,100,101,102,103,104,52,105,106,51,53,107,108],"Apache Spark","ETL\u002FELT Pipelines","Hadoop","HDFS","Big Data Ecosystems","Git","Linux","Bash Scripting","Docker","Podman","AWS Athena","AWS Glue","AWS IAM","AWS SageMaker",{"data security":29,"api consumption":29,"data governance":29,"data traceability":29,"process automation":29,"data quality management":29},[111,112,113,114,115,116],"Data Quality Management","Data Governance","Data Security","Data Traceability","API Consumption","Process Automation",{"id":118,"slug":119,"title":120,"raw_title":11,"is_featured":12,"company":121,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":122,"processed_country_iso_code_gmaps":123,"processed_home_office":88,"processed_salary_min":89,"processed_salary_max":90,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":124,"processed_employment_types":27,"processed_it_skills":125,"processed_it_skills_labels":126,"processed_job_expertise_skills":128,"processed_job_expertise_skills_labels":129,"max_cpc":77,"actual_cpc":77},69431,"data-engineering-associate-ii-5-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-5",{"name":83,"slug":84,"logo_url":11},[],[87],[26],{"git":29,"sql":5,"hdfs":29,"linux":29,"aws s3":29,"docker":29,"hadoop":29,"podman":29,"python":5,"aws emr":29,"aws iam":29,"etl\u002Felt":5,"pyspark":5,"aws glue":29,"aws athena":29,"aws lambda":29,"apache spark":5,"aws sagemaker":29,"bash scripting":29,"big data ecosystems":29},[39,50,95,32,127,97,98,99,100,101,102,103,104,52,105,106,51,53,107,108],"ETL\u002FELT",{"data security":29,"data ingestion":5,"api consumption":29,"data governance":29,"data availability":5,"data traceability":29,"database modeling":29,"data transformation":5,"data pipeline design":5,"database optimization":29,"distributed processing":5,"data quality management":29,"data pipeline automation":5,"data pipeline maintenance":5},[111,112,113,114,130,131,132,133,134,135,115,136,137,138],"Data Pipeline Design","Data Pipeline Automation","Data Pipeline Maintenance","Data Ingestion","Data Transformation","Data Availability","Distributed Processing","Database Modeling","Database Optimization",{"id":140,"slug":141,"title":142,"raw_title":11,"is_featured":12,"company":143,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":144,"processed_country_iso_code_gmaps":145,"processed_home_office":88,"processed_salary_min":89,"processed_salary_max":90,"processed_salary_currency":91,"processed_salary_source":24,"processed_working_hours":146,"processed_employment_types":27,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":149,"processed_job_expertise_skills_labels":150,"max_cpc":77,"actual_cpc":151},69427,"data-engineering-associate-ii-1-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-1",{"name":83,"slug":84,"logo_url":11},[],[87],[26],{"git":29,"sql":5,"hdfs":29,"linux":29,"aws s3":29,"docker":29,"hadoop":29,"podman":29,"python":5,"aws emr":29,"aws iam":29,"etl\u002Felt":5,"pyspark":5,"aws glue":29,"aws athena":29,"aws lambda":29,"apache spark":5,"aws sagemaker":29,"bash scripting":29,"big data ecosystems":29},[39,50,95,32,127,97,98,99,100,101,102,103,104,52,105,106,51,53,107,108],{"data security":29,"data governance":29,"data traceability":29,"data pipeline design":5,"data quality management":29,"data pipeline automation":5,"data pipeline maintenance":5},[111,112,113,114,130,131,132],0.5,{"industry":153,"employment_type":160,"expertise_skills":163,"it_skills":213,"salary_currency":274,"processed_working_hours":277},[154,157],{"key":155,"label":156,"count":29},"financial services","Financial Services",{"key":158,"label":159,"count":77},"insurance","Insurance",[161],{"key":27,"label":162,"count":5},"PERMANENT",[164,166,168,170,172,175,177,179,181,183,185,187,189,191,193,195,197,199,201,203,205,207,209,211],{"key":165,"label":112,"slug":165,"count":29},"data-governance",{"key":167,"label":113,"slug":167,"count":29},"data-security",{"key":169,"label":111,"slug":169,"count":29},"data-quality-management",{"key":171,"label":114,"slug":171,"count":29},"data-traceability",{"key":173,"label":174,"slug":173,"count":30},"api-consumption","Api Consumption",{"key":176,"label":130,"slug":176,"count":30},"data-pipeline-design",{"key":178,"label":132,"slug":178,"count":30},"data-pipeline-maintenance",{"key":180,"label":131,"slug":180,"count":30},"data-pipeline-automation",{"key":182,"label":73,"slug":182,"count":77},"data-science-algorithms",{"key":184,"label":62,"slug":184,"count":77},"data-mesh",{"key":186,"label":59,"slug":186,"count":77},"data-engineering",{"key":188,"label":66,"slug":188,"count":77},"data-cleansing",{"key":190,"label":133,"slug":190,"count":77},"data-ingestion",{"key":192,"label":116,"slug":192,"count":77},"process-automation",{"key":194,"label":63,"slug":194,"count":77},"data-lake",{"key":196,"label":134,"slug":196,"count":77},"data-transformation",{"key":198,"label":76,"slug":198,"count":77},"roadmaps",{"key":200,"label":68,"slug":200,"count":77},"technical-requirements-documentation",{"key":202,"label":64,"slug":202,"count":77},"data-fabric",{"key":204,"label":67,"slug":204,"count":77},"data-quality",{"key":206,"label":135,"slug":206,"count":77},"data-availability",{"key":208,"label":70,"slug":208,"count":77},"big-data-methodologies",{"key":210,"label":60,"slug":210,"count":77},"distributed-systems",{"key":212,"label":69,"slug":212,"count":77},"cloud-architecture",[214,217,219,222,225,227,230,233,236,238,240,242,245,247,249,252,254,256,258,261,264,267,269,272],{"key":215,"label":216,"slug":215,"count":5},"aws-s3","Aws S3",{"key":218,"label":39,"slug":218,"count":5},"python",{"key":220,"label":221,"slug":220,"count":5},"aws-emr","Aws Emr",{"key":223,"label":224,"slug":223,"count":5},"pyspark","Pyspark",{"key":226,"label":32,"slug":226,"count":5},"sql",{"key":228,"label":229,"slug":228,"count":5},"aws-lambda","Aws Lambda",{"key":231,"label":232,"slug":231,"count":29},"aws-glue","Aws Glue",{"key":234,"label":235,"slug":234,"count":29},"aws-sagemaker","Aws Sagemaker",{"key":237,"label":101,"slug":237,"count":29},"linux",{"key":239,"label":104,"slug":239,"count":29},"podman",{"key":241,"label":97,"slug":241,"count":29},"hadoop",{"key":243,"label":244,"slug":243,"count":29},"aws-iam","Aws Iam",{"key":246,"label":103,"slug":246,"count":29},"docker",{"key":248,"label":100,"slug":248,"count":29},"git",{"key":250,"label":251,"slug":250,"count":29},"aws-athena","Aws Athena",{"key":253,"label":99,"slug":253,"count":29},"big-data-ecosystems",{"key":255,"label":102,"slug":255,"count":29},"bash-scripting",{"key":257,"label":95,"slug":257,"count":29},"apache-spark",{"key":259,"label":260,"slug":259,"count":29},"hdfs","Hdfs",{"key":262,"label":263,"slug":262,"count":30},"etlelt","Etl\u002FElt",{"key":265,"label":266,"slug":265,"count":77},"aws-bedrock","Aws Bedrock",{"key":268,"label":56,"slug":268,"count":77},"google-vertex",{"key":270,"label":271,"slug":270,"count":77},"openflow","Openflow",{"key":273,"label":42,"slug":273,"count":77},"oracle",[275,276],{"key":91,"label":91,"count":30},{"key":23,"label":23,"count":30},[278],{"key":26,"label":26,"count":5},{"total":77,"jobs":280},[281],{"id":282,"slug":283,"title":284,"raw_title":11,"is_featured":285,"company":286,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":290,"processed_country_iso_code_gmaps":292,"processed_home_office":294,"processed_salary_min":295,"processed_salary_max":296,"processed_salary_currency":91,"processed_salary_source":11,"processed_working_hours":297,"processed_employment_types":162,"processed_it_skills":299,"processed_it_skills_labels":11,"processed_job_expertise_skills":300,"processed_job_expertise_skills_labels":301,"max_cpc":308,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":287,"slug":288,"logo_url":289},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[291],"Frankfurt am Main",[293],"DE","HYBRID",45000,65000,[298],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[302,303,304,305,306,307],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]