[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-technical-requirements-documentation-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Ftechnical-requirements-documentation":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Ftechnical-requirements-documentation":111,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Ftechnical-requirements-documentation":240},{},{"total":5,"jobs":6},2,[7,78],{"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":29,"etl":29,"sql":29,"qlik":30,"azure":30,"ci\u002Fcd":30,"nosql":30,"spark":29,"aws s3":30,"github":30,"oracle":30,"python":29,"aws dms":30,"aws emr":30,"pyspark":29,"ai tools":5,"big data":29,"openflow":30,"shareplex":30,"snowflake":29,"aws lambda":30,"aws bedrock":5,"google vertex":5,"informatica cloud":30,"informatica powercenter":30},4,3,[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":30,"data lake":30,"data mesh":30,"data fabric":30,"data mining":30,"data quality":29,"data cleansing":29,"data engineering":29,"data warehousing":29,"project strategy":30,"cloud architecture":29,"portfolio strategy":30,"distributed systems":29,"solution architecture":29,"big data methodologies":29,"data science algorithms":30,"data processing pipelines":29,"technical requirements documentation":29},[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":87,"processed_home_office":20,"processed_salary_min":88,"processed_salary_max":89,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":90,"processed_employment_types":27,"processed_it_skills":91,"processed_it_skills_labels":92,"processed_job_expertise_skills":98,"processed_job_expertise_skills_labels":99,"max_cpc":77,"actual_cpc":110},87316,"it-systems-analyst-specialist-sr-sedgwick-claims-management-services-inc","IT Systems Analyst Specialist Sr",{"name":83,"slug":84,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[86],"Memphis",[19],90000,130000,[26],{"apis":30,"data models":30,"system architecture":30,"single sign-on (sso)":29,"technical documentation":29},[93,94,95,96,97],"Single Sign-On (SSO)","APIs","Data Models","System Architecture","Technical Documentation",{"leadership":30,"mentorship":30,"client liaison":30,"systems analysis":29,"release management":30,"system integration":30,"agile methodologies":30,"system configuration":30,"technical design documentation":29,"business requirements translation":29,"technical requirements documentation":29},[100,68,101,102,103,104,105,106,107,108,109],"Systems Analysis","Business Requirements Translation","System Integration","Agile Methodologies","Technical Design Documentation","Release Management","Client Liaison","System Configuration","Mentorship","Leadership",0.5,{"industry":112,"employment_type":119,"expertise_skills":122,"it_skills":171,"salary_currency":236,"processed_working_hours":238},[113,116],{"key":114,"label":115,"count":5},"insurance","Insurance",{"key":117,"label":118,"count":77},"claims management","Claims Management",[120],{"key":27,"label":121,"count":5},"PERMANENT",[123,125,127,129,131,133,135,137,139,141,143,145,147,149,151,153,155,157,159,161,163,165,167,169],{"key":124,"label":68,"slug":124,"count":5},"technical-requirements-documentation",{"key":126,"label":70,"slug":126,"count":77},"big-data-methodologies",{"key":128,"label":101,"slug":128,"count":77},"business-requirements-translation",{"key":130,"label":106,"slug":130,"count":77},"client-liaison",{"key":132,"label":69,"slug":132,"count":77},"cloud-architecture",{"key":134,"label":66,"slug":134,"count":77},"data-cleansing",{"key":136,"label":59,"slug":136,"count":77},"data-engineering",{"key":138,"label":64,"slug":138,"count":77},"data-fabric",{"key":140,"label":63,"slug":140,"count":77},"data-lake",{"key":142,"label":62,"slug":142,"count":77},"data-mesh",{"key":144,"label":72,"slug":144,"count":77},"data-mining",{"key":146,"label":71,"slug":146,"count":77},"data-processing-pipelines",{"key":148,"label":67,"slug":148,"count":77},"data-quality",{"key":150,"label":73,"slug":150,"count":77},"data-science-algorithms",{"key":152,"label":103,"slug":152,"count":77},"agile-methodologies",{"key":154,"label":60,"slug":154,"count":77},"distributed-systems",{"key":156,"label":109,"slug":156,"count":77},"leadership",{"key":158,"label":108,"slug":158,"count":77},"mentorship",{"key":160,"label":75,"slug":160,"count":77},"portfolio-strategy",{"key":162,"label":74,"slug":162,"count":77},"project-strategy",{"key":164,"label":105,"slug":164,"count":77},"release-management",{"key":166,"label":76,"slug":166,"count":77},"roadmaps",{"key":168,"label":65,"slug":168,"count":77},"solution-architecture",{"key":170,"label":107,"slug":170,"count":77},"system-configuration",[172,175,178,181,184,187,190,193,196,199,201,204,206,209,212,214,216,219,222,225,227,230,232,234],{"key":173,"label":174,"slug":173,"count":77},"ai-tools","Ai Tools",{"key":176,"label":177,"slug":176,"count":77},"apis","Apis",{"key":179,"label":180,"slug":179,"count":77},"aws","Aws",{"key":182,"label":183,"slug":182,"count":77},"aws-bedrock","Aws Bedrock",{"key":185,"label":186,"slug":185,"count":77},"aws-dms","Aws Dms",{"key":188,"label":189,"slug":188,"count":77},"aws-emr","Aws Emr",{"key":191,"label":192,"slug":191,"count":77},"aws-lambda","Aws Lambda",{"key":194,"label":195,"slug":194,"count":77},"aws-s3","Aws S3",{"key":197,"label":198,"slug":197,"count":77},"ms-azure","MS Azure",{"key":200,"label":36,"slug":200,"count":77},"big-data",{"key":202,"label":203,"slug":202,"count":77},"cicd","Ci\u002FCd",{"key":205,"label":95,"slug":205,"count":77},"data-models",{"key":207,"label":208,"slug":207,"count":77},"etl","Etl",{"key":210,"label":211,"slug":210,"count":77},"github","Github",{"key":213,"label":56,"slug":213,"count":77},"google-vertex",{"key":215,"label":43,"slug":215,"count":77},"informatica-cloud",{"key":217,"label":218,"slug":217,"count":77},"informatica-powercenter","Informatica Powercenter",{"key":220,"label":221,"slug":220,"count":77},"nosql","Nosql",{"key":223,"label":224,"slug":223,"count":77},"openflow","Openflow",{"key":226,"label":42,"slug":226,"count":77},"oracle",{"key":228,"label":229,"slug":228,"count":77},"pyspark","Pyspark",{"key":231,"label":39,"slug":231,"count":77},"python",{"key":233,"label":46,"slug":233,"count":77},"qlik",{"key":235,"label":47,"slug":235,"count":77},"shareplex",[237],{"key":23,"label":23,"count":5},[239],{"key":26,"label":26,"count":5},{"total":77,"jobs":241},[242],{"id":243,"slug":244,"title":245,"raw_title":11,"is_featured":246,"company":247,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":251,"processed_country_iso_code_gmaps":253,"processed_home_office":255,"processed_salary_min":256,"processed_salary_max":257,"processed_salary_currency":258,"processed_salary_source":11,"processed_working_hours":259,"processed_employment_types":121,"processed_it_skills":261,"processed_it_skills_labels":11,"processed_job_expertise_skills":262,"processed_job_expertise_skills_labels":263,"max_cpc":270,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":248,"slug":249,"logo_url":250},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[252],"Frankfurt am Main",[254],"DE","HYBRID",45000,65000,"EUR",[260],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[264,265,266,267,268,269],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]