[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fscaled-agile":3,"seo-content-expertise-scaled-agile-global":268,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fscaled-agile":269,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fscaled-agile":403},{"total":4,"jobs":5},5,[6,63,139,163,210],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":48,"processed_job_expertise_skills_labels":50,"max_cpc":62,"actual_cpc":62},88191,"ind-staff-software-engineer-hartford-global-services-private-limited-8","IND Staff Software Engineer",null,false,{"name":13,"slug":14,"logo_url":10},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[16],"Hyderabad",[18],"IN","onsite",3000000,5000000,"INR","estimated",[25],"FULL_TIME","permanent",{"aws":28,"gcp":29,".net":28,"java":28,"rally":29,"react":29,"devops":28,"github":29,"angular":29,"jenkins":29,"rest api":28,"soap api":28,"sonarqube":29,"agentic ai":29,"generative ai":29,"microservices":28,"infrastructure as code":28},4,3,[31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"AWS","Java",".NET","Angular","React","REST API","SOAP API","GitHub","Jenkins","Rally","SonarQube","Generative AI","Agentic AI","Microservices","Infrastructure as Code","DevOps","GCP",{"scaled agile":28,"fault tolerance":28,"team leadership":28,"disaster recovery":28,"high availability":28,"cloud architecture":28,"software development":28,"software architecture":28,"continuous integration":28,"object-oriented design":28,"employee benefits domain":49},2,[51,52,53,54,55,56,57,58,59,60,61],"Software Architecture","Software Development","Object-Oriented Design","Scaled Agile","Team Leadership","Cloud Architecture","Disaster Recovery","High Availability","Fault Tolerance","Continuous Integration","Employee Benefits Domain",1,{"id":64,"slug":65,"title":66,"raw_title":10,"is_featured":11,"company":67,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":68,"processed_country_iso_code_gmaps":69,"processed_home_office":70,"processed_salary_min":71,"processed_salary_max":72,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":73,"processed_employment_types":26,"processed_it_skills":74,"processed_it_skills_labels":75,"processed_job_expertise_skills":116,"processed_job_expertise_skills_labels":117,"max_cpc":62,"actual_cpc":62},78821,"ind-senior-engineer-data-hartford-global-services-private-limited","IND Senior Engineer, Data",{"name":13,"slug":14,"logo_url":10},[16],[18],"hybrid",2500000,4000000,[25],{"a2a":28,"aws":28,"mcp":28,"rdf":28,"sql":28,"azure":28,"ci\u002Fcd":28,"neo4j":28,"nosql":28,"spark":28,"aws s3":28,"cypher":28,"docker":28,"python":28,"sparql":28,"aws ec2":28,"mongodb":28,"pytorch":29,"big data":28,"dynamodb":28,"data lake":28,"data mesh":28,"langchain":28,"langgraph":28,"snowflake":28,"aws lambda":28,"kubernetes":28,"tensorflow":29,"aws kinesis":28,"data fabric":28,"apache kafka":28,"document dbs":28,"etl\u002Felt tools":28,"gcp vertex ai":28,"spanner graph":28,"amazon neptune":28,"aws opensearch":28,"graph databases":28,"spark streaming":28,"vector databases":28,"google cloud platform":28},[76,77,78,79,80,81,82,83,84,31,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115],"Apache Kafka","AWS Kinesis","Spark Streaming","SQL","NoSQL","Snowflake","ETL\u002FELT tools","CI\u002FCD","Big Data","Google Cloud Platform","Azure","Python","Spark","Data Mesh","Data Lake","Data Fabric","Docker","Kubernetes","PyTorch","TensorFlow","Vector Databases","Graph Databases","Document DBs","AWS OpenSearch","GCP Vertex AI","Neo4j","Spanner Graph","Amazon Neptune","MongoDB","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","LangGraph","MCP","A2A","Cypher","SPARQL","RDF",{"devops":28,"data lakes":28,"data domains":28,"data lineage":28,"data quality":28,"scaled agile":28,"data products":28,"generative ai":28,"data catalogue":28,"data governance":28,"cloud technology":28,"data engineering":28,"data integration":28,"data warehousing":28,"knowledge graphs":28,"data architecture":28,"semantic modeling":28,"prompt engineering":28,"business intelligence":28,"reliability engineering":28,"synthetic data generation":28,"ai-driven data engineering":28,"insurance domain knowledge":29,"retrieval-augmented generation (rag)":28},[118,119,120,121,122,123,124,125,126,42,127,128,129,130,131,132,133,134,135,136,46,137,54,138],"Data Engineering","Data Architecture","Data Warehousing","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Cloud Technology","Retrieval-Augmented Generation (RAG)","Prompt Engineering","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Data Governance","Data Quality","Data Lineage","Data Catalogue","AI-driven Data Engineering","Reliability Engineering","Insurance Domain Knowledge",{"id":140,"slug":141,"title":142,"raw_title":10,"is_featured":11,"company":143,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":144,"processed_country_iso_code_gmaps":145,"processed_home_office":70,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":146,"processed_employment_types":26,"processed_it_skills":147,"processed_it_skills_labels":148,"processed_job_expertise_skills":151,"processed_job_expertise_skills_labels":152,"max_cpc":62,"actual_cpc":62},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":13,"slug":14,"logo_url":10},[16],[18],[25],{"a2a":28,"mcp":28,"rdf":28,"sql":28,"ci\u002Fcd":28,"neo4j":28,"nosql":28,"aws s3":28,"cypher":28,"docker":28,"python":28,"sparql":28,"aws ec2":28,"mongodb":28,"pytorch":29,"big data":28,"dynamodb":28,"langchain":28,"langgraph":28,"snowflake":28,"aws lambda":28,"kubernetes":28,"tensorflow":29,"aws kinesis":28,"apache kafka":28,"apache spark":28,"etl\u002Felt tools":28,"gcp vertex ai":28,"spanner graph":28,"amazon neptune":28,"aws opensearch":28,"graph databases":28,"vector databases":28,"cloud technologies (aws\u002Fgcp\u002Fazure)":28},[87,79,80,81,82,83,84,149,150,76,77,92,93,94,95,96,97,101,103,104,105,106,107,108,109,110,111,112,113,114,115,99,100,102],"Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark",{"ai\u002Fml":28,"devops":28,"alerting":28,"analytics":28,"data mesh":28,"data lakes":28,"monitoring":28,"redundancy":28,"data fabric":28,"data catalog":28,"data domains":28,"data lineage":28,"data quality":28,"scaled agile":28,"data products":28,"generative ai":28,"data governance":28,"fault tolerance":28,"data engineering":28,"data integration":28,"data warehousing":28,"knowledge graphs":28,"agentic solutions":28,"data architecture":28,"disaster recovery":28,"semantic modeling":28,"prompt engineering":28,"incident management":28,"business intelligence":28,"reliability engineering":28,"real-time data streaming":28,"synthetic data generation":28,"insurance domain knowledge":29,"unstructured data processing":28,"retrieval-augmented generation (rag)":28},[118,119,120,121,122,123,124,125,132,133,134,153,42,127,128,129,130,131,154,54,46,137,57,59,155,156,157,158,89,91,159,160,161,162,138],"Data Catalog","Agentic Solutions","Redundancy","Monitoring","Alerting","Incident Management","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics",{"id":164,"slug":165,"title":166,"raw_title":10,"is_featured":11,"company":167,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":170,"processed_country_iso_code_gmaps":172,"processed_home_office":19,"processed_salary_min":174,"processed_salary_max":175,"processed_salary_currency":176,"processed_salary_source":23,"processed_working_hours":177,"processed_employment_types":26,"processed_it_skills":178,"processed_it_skills_labels":179,"processed_job_expertise_skills":197,"processed_job_expertise_skills_labels":198,"max_cpc":62,"actual_cpc":62},59420,"tradeagent-senior-java-engineer-lseg-business-services-rm-srl","TradeAgent Senior Java Engineer",{"name":168,"slug":169,"logo_url":10},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[171],"Bukarest",[173],"RO",60000,90000,"EUR",[25],{"mq":29,"aws":28,"iam":29,"msk":29,"sql":28,"java":28,"pact":29,"junit":28,"kafka":28,"scala":49,"aws s3":28,"docker":28,"flyway":29,"gitlab":29,"gherkin":29,"reactjs":49,"cucumber":29,"postgres":28,"liquibase":29,"aws aurora":29,"kubernetes":28,"spring boot":28,"microservices":28,"testcontainers":29},[32,180,44,92,93,181,182,183,184,185,186,187,188,79,189,107,190,191,31,192,193,194,195,196],"Spring Boot","GitLab","JUnit","Cucumber","Gherkin","PACT","TestContainers","Kafka","MQ","Postgres","Flyway","Liquibase","AWS Aurora","MSK","IAM","Scala","ReactJS",{"algorithms":28,"scaled agile":29,"scrum\u002Fkanban":28,"data structures":28,"cloud networking":49,"devops pipelines":29,"shift left testing":29,"agile methodologies":28,"domain driven design":28,"event driven architecture":28,"object oriented programming":28,"concurrency & multi-threading":28},[199,200,201,202,203,204,205,206,207,54,208,209],"Event Driven Architecture","Domain Driven Design","Object Oriented Programming","Data Structures","Algorithms","Concurrency & Multi-threading","Cloud Networking","Agile Methodologies","Scrum\u002FKanban","DevOps Pipelines","Shift Left Testing",{"id":211,"slug":212,"title":213,"raw_title":10,"is_featured":11,"company":214,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":217,"processed_country_iso_code_gmaps":218,"processed_home_office":19,"processed_salary_min":219,"processed_salary_max":220,"processed_salary_currency":221,"processed_salary_source":23,"processed_working_hours":222,"processed_employment_types":26,"processed_it_skills":223,"processed_it_skills_labels":224,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":62,"actual_cpc":267},59778,"director-enterprise-finance-architecture-ind201-refinitiv-india-shared-services-private-limited","Director, Enterprise Finance Architecture",{"name":215,"slug":216,"logo_url":10},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[16],[18],150000,200000,"USD",[25],{"aws":29,"oci":28,"odi":28,"oml":28,"apex":28,"oics":28,"otbi":28,"vbcs":28,"agile":28,"ai\u002Fml":28,"azure":29,"ci\u002Fcd":28,"genai":28,"soacs":28,"devops":28,"oci di":28,"pl\u002Fsql":28,"data flow":28,"automation":28,"javascript":28,"oracle adb":28,"multi-cloud":28,"bi publisher":28,"web services":28,"oracle exadata":28,"data integration":28,"oracle fusion apis":28,"deployment pipelines":28,"middleware solutions":28},[225,226,227,228,229,121,161,230,231,232,233,234,235,236,237,238,239,240,241,242,243,83,46,244,245,246,247,31,86],"Oracle Fusion APIs","Web Services","Middleware Solutions","Oracle Exadata","Oracle ADB","GenAI","OCI","OCI DI","Data Flow","ODI","OML","Apex","PL\u002FSQL","OTBI","BI Publisher","JavaScript","OICS","SOACS","VBCS","Agile","Automation","Deployment Pipelines","Multi-cloud",{"paas":28,"saas":28,"governance":28,"roadmapping":28,"data lineage":28,"data quality":28,"scaled agile":28,"agile delivery":28,"data management":28,"managed services":28,"capacity planning":28,"change management":28,"data architecture":28,"disaster recovery":28,"vendor management":28,"cloud architecture":28,"data modernization":28,"product management":28,"strategy execution":28,"regulatory compliance":28,"solution architecture":28,"enterprise architecture":28,"business case development":28},[250,251,119,252,253,133,134,56,57,254,255,256,257,258,54,259,260,261,262,263,264,265,266],"Enterprise Architecture","Solution Architecture","Data Modernization","Data Management","Capacity Planning","Vendor Management","Regulatory Compliance","Product Management","Agile Delivery","Governance","Roadmapping","Business Case Development","Strategy Execution","Change Management","SaaS","PaaS","Managed Services",0.5,{},{"industry":270,"employment_type":280,"expertise_skills":283,"it_skills":335,"salary_currency":397,"processed_working_hours":401},[271,274,277],{"key":272,"label":273,"count":29},"insurance","Insurance",{"key":275,"label":276,"count":49},"financial markets infrastructure","Financial Markets Infrastructure",{"key":278,"label":279,"count":49},"data","Data",[281],{"key":26,"label":282,"count":4},"PERMANENT",[284,286,288,290,292,294,296,298,300,302,305,307,309,311,313,315,318,320,322,324,326,328,331,333],{"key":285,"label":54,"slug":285,"count":4},"scaled-agile",{"key":287,"label":133,"slug":287,"count":29},"data-quality",{"key":289,"label":119,"slug":289,"count":29},"data-architecture",{"key":291,"label":57,"slug":291,"count":29},"disaster-recovery",{"key":293,"label":134,"slug":293,"count":29},"data-lineage",{"key":295,"label":124,"slug":295,"count":49},"data-products",{"key":297,"label":132,"slug":297,"count":49},"data-governance",{"key":299,"label":121,"slug":299,"count":49},"data-integration",{"key":301,"label":137,"slug":301,"count":49},"reliability-engineering",{"key":303,"label":304,"slug":303,"count":49},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":306,"label":122,"slug":306,"count":49},"data-lakes",{"key":308,"label":118,"slug":308,"count":49},"data-engineering",{"key":310,"label":120,"slug":310,"count":49},"data-warehousing",{"key":312,"label":59,"slug":312,"count":49},"fault-tolerance",{"key":314,"label":129,"slug":314,"count":49},"semantic-modeling",{"key":316,"label":317,"slug":316,"count":49},"generative-ai","Generative Ai",{"key":319,"label":125,"slug":319,"count":49},"business-intelligence",{"key":321,"label":56,"slug":321,"count":49},"cloud-architecture",{"key":323,"label":123,"slug":323,"count":49},"data-domains",{"key":325,"label":138,"slug":325,"count":49},"insurance-domain-knowledge",{"key":327,"label":131,"slug":327,"count":49},"synthetic-data-generation",{"key":329,"label":330,"slug":329,"count":49},"devops","Devops",{"key":332,"label":130,"slug":332,"count":49},"knowledge-graphs",{"key":334,"label":128,"slug":334,"count":49},"prompt-engineering",[336,339,341,343,346,348,351,353,355,358,360,362,364,367,370,373,376,379,381,384,386,389,392,395],{"key":337,"label":338,"slug":337,"count":28},"aws","Aws",{"key":340,"label":93,"slug":340,"count":29},"kubernetes",{"key":342,"label":79,"slug":342,"count":29},"sql",{"key":344,"label":345,"slug":344,"count":29},"aws-s3","Aws S3",{"key":347,"label":92,"slug":347,"count":29},"docker",{"key":349,"label":350,"slug":349,"count":29},"cicd","Ci\u002FCd",{"key":352,"label":44,"slug":352,"count":49},"microservices",{"key":354,"label":113,"slug":354,"count":49},"cypher",{"key":356,"label":357,"slug":356,"count":49},"gcp-vertex-ai","Gcp Vertex Ai",{"key":359,"label":81,"slug":359,"count":49},"snowflake",{"key":361,"label":32,"slug":361,"count":49},"java",{"key":363,"label":97,"slug":363,"count":49},"graph-databases",{"key":365,"label":366,"slug":365,"count":49},"nosql","Nosql",{"key":368,"label":369,"slug":368,"count":49},"mongodb","Mongodb",{"key":371,"label":372,"slug":371,"count":49},"pytorch","Pytorch",{"key":374,"label":375,"slug":374,"count":49},"tensorflow","Tensorflow",{"key":377,"label":378,"slug":377,"count":49},"langchain","Langchain",{"key":380,"label":112,"slug":380,"count":49},"a2a",{"key":382,"label":383,"slug":382,"count":49},"neo4j","Neo4J",{"key":385,"label":87,"slug":385,"count":49},"python",{"key":387,"label":388,"slug":387,"count":49},"rdf","Rdf",{"key":390,"label":391,"slug":390,"count":49},"sparql","Sparql",{"key":393,"label":394,"slug":393,"count":49},"langgraph","Langgraph",{"key":396,"label":76,"slug":396,"count":49},"apache-kafka",[398,399,400],{"key":22,"label":22,"count":29},{"key":176,"label":176,"count":62},{"key":221,"label":221,"count":62},[402],{"key":25,"label":25,"count":4},{"total":62,"jobs":404},[405],{"id":406,"slug":407,"title":408,"raw_title":10,"is_featured":409,"company":410,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":414,"processed_country_iso_code_gmaps":416,"processed_home_office":418,"processed_salary_min":419,"processed_salary_max":420,"processed_salary_currency":176,"processed_salary_source":10,"processed_working_hours":421,"processed_employment_types":282,"processed_it_skills":423,"processed_it_skills_labels":10,"processed_job_expertise_skills":424,"processed_job_expertise_skills_labels":425,"max_cpc":431,"actual_cpc":10},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":411,"slug":412,"logo_url":413},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[415],"Frankfurt am Main",[417],"DE","HYBRID",45000,65000,[422],"full_time",{},{"Financial Analysis":29,"Regulatory Compliance":29,"New Customer Acquisition":29,"Private Banking Advisory":29,"Banking Products Knowledge":29,"Customer Relationship Management":29},[426,427,428,256,429,430],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]