[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-lakes-global":3,"job-search-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-lakes":4,"expertise-filters-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-lakes":283,"featured-jobs-\u002Fde-global\u002Fjobs-by-expertise\u002Fdata-lakes":425},{},{"total":5,"jobs":6},6,[7,100,128,160,195,253],{"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":73,"processed_job_expertise_skills_labels":74,"max_cpc":99,"actual_cpc":99},78821,"ind-senior-engineer-data-hartford-global-services-private-limited","IND Senior Engineer, Data",null,false,{"name":14,"slug":15,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[17],"Hyderabad",[19],"IN","hybrid",2500000,4000000,"INR","estimated",[26],"FULL_TIME","permanent",{"a2a":29,"aws":29,"mcp":29,"rdf":29,"sql":29,"azure":29,"ci\u002Fcd":29,"neo4j":29,"nosql":29,"spark":29,"aws s3":29,"cypher":29,"docker":29,"python":29,"sparql":29,"aws ec2":29,"mongodb":29,"pytorch":30,"big data":29,"dynamodb":29,"data lake":29,"data mesh":29,"langchain":29,"langgraph":29,"snowflake":29,"aws lambda":29,"kubernetes":29,"tensorflow":30,"aws kinesis":29,"data fabric":29,"apache kafka":29,"document dbs":29,"etl\u002Felt tools":29,"gcp vertex ai":29,"spanner graph":29,"amazon neptune":29,"aws opensearch":29,"graph databases":29,"spark streaming":29,"vector databases":29,"google cloud platform":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72],"Apache Kafka","AWS Kinesis","Spark Streaming","SQL","NoSQL","Snowflake","ETL\u002FELT tools","CI\u002FCD","Big Data","AWS","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":29,"data lakes":29,"data domains":29,"data lineage":29,"data quality":29,"scaled agile":29,"data products":29,"generative ai":29,"data catalogue":29,"data governance":29,"cloud technology":29,"data engineering":29,"data integration":29,"data warehousing":29,"knowledge graphs":29,"data architecture":29,"semantic modeling":29,"prompt engineering":29,"business intelligence":29,"reliability engineering":29,"synthetic data generation":29,"ai-driven data engineering":29,"insurance domain knowledge":30,"retrieval-augmented generation (rag)":29},[75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98],"Data Engineering","Data Architecture","Data Warehousing","Data Integration","Data Lakes","Data Domains","Data Products","Business Intelligence","Cloud Technology","Generative AI","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","DevOps","Reliability Engineering","Scaled Agile","Insurance Domain Knowledge",1,{"id":101,"slug":102,"title":103,"raw_title":11,"is_featured":12,"company":104,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":105,"processed_country_iso_code_gmaps":106,"processed_home_office":20,"processed_salary_min":107,"processed_salary_max":108,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":109,"processed_employment_types":27,"processed_it_skills":110,"processed_it_skills_labels":111,"processed_job_expertise_skills":114,"processed_job_expertise_skills_labels":115,"max_cpc":99,"actual_cpc":99},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":14,"slug":15,"logo_url":11},[17],[19],3000000,5000000,[26],{"a2a":29,"mcp":29,"rdf":29,"sql":29,"ci\u002Fcd":29,"neo4j":29,"nosql":29,"aws s3":29,"cypher":29,"docker":29,"python":29,"sparql":29,"aws ec2":29,"mongodb":29,"pytorch":30,"big data":29,"dynamodb":29,"langchain":29,"langgraph":29,"snowflake":29,"aws lambda":29,"kubernetes":29,"tensorflow":30,"aws kinesis":29,"apache kafka":29,"apache spark":29,"etl\u002Felt tools":29,"gcp vertex ai":29,"spanner graph":29,"amazon neptune":29,"aws opensearch":29,"graph databases":29,"vector databases":29,"cloud technologies (aws\u002Fgcp\u002Fazure)":29},[44,35,36,37,38,39,40,112,113,32,33,49,50,51,52,53,54,58,60,61,62,63,64,65,66,67,68,69,70,71,72,56,57,59],"Cloud Technologies (AWS\u002FGCP\u002FAzure)","Apache Spark",{"ai\u002Fml":29,"devops":29,"alerting":29,"analytics":29,"data mesh":29,"data lakes":29,"monitoring":29,"redundancy":29,"data fabric":29,"data catalog":29,"data domains":29,"data lineage":29,"data quality":29,"scaled agile":29,"data products":29,"generative ai":29,"data governance":29,"fault tolerance":29,"data engineering":29,"data integration":29,"data warehousing":29,"knowledge graphs":29,"agentic solutions":29,"data architecture":29,"disaster recovery":29,"semantic modeling":29,"prompt engineering":29,"incident management":29,"business intelligence":29,"reliability engineering":29,"real-time data streaming":29,"synthetic data generation":29,"insurance domain knowledge":30,"unstructured data processing":29,"retrieval-augmented generation (rag)":29},[75,76,77,78,79,80,81,82,90,91,92,116,84,85,86,87,88,89,117,97,95,96,118,119,120,121,122,123,46,48,124,125,126,127,98],"Data Catalog","Agentic Solutions","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Unstructured Data Processing","Real-Time Data Streaming","AI\u002FML","Analytics",{"id":129,"slug":130,"title":131,"raw_title":11,"is_featured":12,"company":132,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":135,"processed_country_iso_code_gmaps":137,"processed_home_office":139,"processed_salary_min":140,"processed_salary_max":141,"processed_salary_currency":142,"processed_salary_source":24,"processed_working_hours":143,"processed_employment_types":144,"processed_it_skills":145,"processed_it_skills_labels":147,"processed_job_expertise_skills":152,"processed_job_expertise_skills_labels":153,"max_cpc":99,"actual_cpc":99},88419,"business-insights-analytics-leadership-development-program-bia-ldp-geospatial-intern-travelers-indemnity-co","Business Insights & Analytics Leadership Development Program (BI&A LDP) Geospatial Intern",{"name":133,"slug":134,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[136],"Hartford",[138],"US","onsite",28,30,"USD",[26],"student",{"sql":30,"python":30,"ai tools":146,"snowflake":146,"databricks":146,"esri arcgis pro":30,"gis mapping software":30},2,[44,35,37,148,149,150,151],"Databricks","ESRI ArcGIS Pro","GIS mapping software","AI tools",{"etl":146,"data lakes":146,"map projects":30,"data warehouse":146,"coordinate systems":30,"spatial statistics":30,"geographic information systems (gis)":30},[154,155,156,157,79,158,159],"Geographic Information Systems (GIS)","Spatial Statistics","Data Warehouse","ETL","Map Projects","Coordinate Systems",{"id":161,"slug":162,"title":163,"raw_title":11,"is_featured":12,"company":164,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":167,"processed_country_iso_code_gmaps":169,"processed_home_office":139,"processed_salary_min":171,"processed_salary_max":172,"processed_salary_currency":173,"processed_salary_source":24,"processed_working_hours":174,"processed_employment_types":27,"processed_it_skills":175,"processed_it_skills_labels":176,"processed_job_expertise_skills":185,"processed_job_expertise_skills_labels":186,"max_cpc":99,"actual_cpc":99},66751,"data-platform-engineering-manager-the-toronto-dominion-bank-canada","Data Platform Engineering Manager",{"name":165,"slug":166,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[168],"Toronto",[170],"CA",115600,163200,"CAD",[26],{"api":29,"aws":29,"sql":30,"azure":29,"kafka":30,"python":30,"dataops":29,"etl\u002Felt":29,"automation":30,"databricks":29,"google cloud":29,"observability":30,"data streaming":29},[148,43,41,177,44,35,178,179,180,181,182,183,184],"Google Cloud","Kafka","ETL\u002FELT","API","Data Streaming","DataOps","Observability","Automation",{"budgeting":30,"data lakes":29,"data fabric":29,"data quality":29,"data security":29,"data governance":29,"risk management":30,"data engineering":29,"data integration":29,"project management":30,"cloud data platforms":29,"regulatory compliance":29,"data platform architecture":29,"enterprise data management":29},[75,187,90,188,91,78,189,79,48,190,191,192,193,194],"Data Platform Architecture","Data Security","Cloud Data Platforms","Enterprise Data Management","Regulatory Compliance","Risk Management","Project Management","Budgeting",{"id":196,"slug":197,"title":198,"raw_title":11,"is_featured":12,"company":199,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":202,"processed_country_iso_code_gmaps":204,"processed_home_office":20,"processed_salary_min":206,"processed_salary_max":207,"processed_salary_currency":142,"processed_salary_source":24,"processed_working_hours":208,"processed_employment_types":27,"processed_it_skills":209,"processed_it_skills_labels":210,"processed_job_expertise_skills":228,"processed_job_expertise_skills_labels":229,"max_cpc":99,"actual_cpc":99},65697,"client-and-marketing-analytics-partner-asia-sun-life-assurance-company-of-canada-regional-office","Client and Marketing Analytics Partner, Asia",{"name":200,"slug":201,"logo_url":11},"Sun Life Assurance Company of Canada, Regional Office","sun-life-assurance-company-of-canada-regional-office",[203],"Hong Kong Island",[205],"HK",120000,180000,[26],{"aws":146,"sql":30,"vba":146,"azure":146,"excel":29,"linux":146,"python":30,"marketo":30,"tableau":29,"meta ads":30,"power bi":29,"sprinklr":146,"qualtrics":30,"google ads":30,"salesforce":30,"windsor.ai":30,"adobe target":146,"linkedin ads":30,"supermetrics":30,"microsoft ads":30,"adobe analytics":30},[211,212,35,44,213,214,215,216,217,218,219,220,221,222,223,224,225,226,41,43,227],"Tableau","Power BI","VBA","Excel","Salesforce","Adobe Analytics","Marketo","Adobe Target","Google Ads","Meta Ads","LinkedIn Ads","Microsoft Ads","Qualtrics","Sprinklr","Supermetrics","Windsor.ai","Linux",{"etl":30,"agentic ai":30,"consulting":30,"data lakes":30,"customer 360":30,"next-best-ad":30,"segmentation":30,"brand management":30,"client analytics":29,"data integration":30,"data warehousing":30,"next-best-action":30,"digital marketing":29,"journey analytics":30,"next-best-channel":30,"next-best-message":30,"data visualization":29,"insurance knowledge":29,"marketing analytics":29,"regional experience":30,"workflow automation":30,"ai-enabled analytics":29,"business intelligence":29,"campaign optimization":29,"performance management":29,"lead generation measurement":29,"financial services knowledge":29,"online-to-offline conversion":29},[230,231,82,232,233,234,235,236,237,78,157,77,79,238,239,240,241,242,243,244,245,246,247,248,249,250,251,252],"Marketing Analytics","Client Analytics","Data Visualization","Performance Management","Brand Management","Digital Marketing","Lead Generation Measurement","Online-to-Offline Conversion","AI-enabled Analytics","Agentic AI","Workflow Automation","Next-Best-Action","Next-Best-Message","Next-Best-Ad","Next-Best-Channel","Segmentation","Customer 360","Journey Analytics","Campaign Optimization","Insurance Knowledge","Financial Services Knowledge","Consulting","Regional Experience",{"id":254,"slug":255,"title":256,"raw_title":11,"is_featured":12,"company":257,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":260,"processed_country_iso_code_gmaps":262,"processed_home_office":139,"processed_salary_min":264,"processed_salary_max":265,"processed_salary_currency":266,"processed_salary_source":24,"processed_working_hours":267,"processed_employment_types":27,"processed_it_skills":268,"processed_it_skills_labels":269,"processed_job_expertise_skills":275,"processed_job_expertise_skills_labels":276,"max_cpc":99,"actual_cpc":282},49201,"assistant-vice-president-data-virtualisation-lead-mufg-united-kingdom-btmu","Assistant Vice President, Data Virtualisation Lead",{"name":258,"slug":259,"logo_url":11},"MUFG - United Kingdom (BTMU)","mufg-united-kingdom-btmu",[261],"London",[263],"GB",100000,150000,"GBP",[26],{"aws":29,"dbt":30,"gcp":30,"sql":29,"azure":30,"spark":30,"trino":29,"presto":30,"python":30,"power bi":30,"starburst":29,"kubernetes":29},[270,271,272,35,50,41,43,273,44,45,212,274],"Starburst","Trino","Presto","GCP","dbt",{"agentic ai":30,"data lakes":29,"data security":29,"ai fundamentals":30,"data governance":29,"data engineering":29,"cloud engineering":29,"architecture design":29,"distributed systems":29,"large language models":30},[75,277,79,90,188,278,279,280,281,239],"Distributed Systems","Cloud Engineering","Architecture Design","AI Fundamentals","Large Language Models",0.5,{"industry":284,"employment_type":294,"expertise_skills":300,"it_skills":354,"salary_currency":418,"processed_working_hours":423},[285,288,291],{"key":286,"label":287,"count":29},"insurance","Insurance",{"key":289,"label":290,"count":30},"financial services","Financial Services",{"key":292,"label":293,"count":99},"banking","Banking",[295,298],{"key":27,"label":296,"count":297},"PERMANENT",5,{"key":144,"label":299,"count":99},"STUDENT",[301,303,305,307,309,311,313,315,317,319,321,323,326,328,330,332,334,336,338,341,344,346,349,351],{"key":302,"label":79,"slug":302,"count":5},"data-lakes",{"key":304,"label":90,"slug":304,"count":29},"data-governance",{"key":306,"label":78,"slug":306,"count":29},"data-integration",{"key":308,"label":75,"slug":308,"count":29},"data-engineering",{"key":310,"label":82,"slug":310,"count":30},"business-intelligence",{"key":312,"label":77,"slug":312,"count":30},"data-warehousing",{"key":314,"label":91,"slug":314,"count":30},"data-quality",{"key":316,"label":76,"slug":316,"count":146},"data-architecture",{"key":318,"label":81,"slug":318,"count":146},"data-products",{"key":320,"label":98,"slug":320,"count":146},"insurance-domain-knowledge",{"key":322,"label":96,"slug":322,"count":146},"reliability-engineering",{"key":324,"label":325,"slug":324,"count":146},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":327,"label":188,"slug":327,"count":146},"data-security",{"key":329,"label":97,"slug":329,"count":146},"scaled-agile",{"key":331,"label":88,"slug":331,"count":146},"knowledge-graphs",{"key":333,"label":87,"slug":333,"count":146},"semantic-modeling",{"key":335,"label":80,"slug":335,"count":146},"data-domains",{"key":337,"label":89,"slug":337,"count":146},"synthetic-data-generation",{"key":339,"label":340,"slug":339,"count":146},"agentic-ai","Agentic Ai",{"key":342,"label":343,"slug":342,"count":146},"devops","Devops",{"key":345,"label":48,"slug":345,"count":146},"data-fabric",{"key":347,"label":348,"slug":347,"count":146},"etl","Etl",{"key":350,"label":92,"slug":350,"count":146},"data-lineage",{"key":352,"label":353,"slug":352,"count":146},"generative-ai","Generative Ai",[355,357,359,362,365,367,369,372,375,377,380,383,386,389,392,395,398,400,403,406,408,410,413,416],{"key":356,"label":35,"slug":356,"count":5},"sql",{"key":358,"label":44,"slug":358,"count":5},"python",{"key":360,"label":361,"slug":360,"count":29},"ms-azure","MS Azure",{"key":363,"label":364,"slug":363,"count":29},"aws","Aws",{"key":366,"label":37,"slug":366,"count":30},"snowflake",{"key":368,"label":50,"slug":368,"count":30},"kubernetes",{"key":370,"label":371,"slug":370,"count":146},"aws-opensearch","Aws Opensearch",{"key":373,"label":374,"slug":373,"count":146},"mcp","Mcp",{"key":376,"label":49,"slug":376,"count":146},"docker",{"key":378,"label":379,"slug":378,"count":146},"aws-s3","Aws S3",{"key":381,"label":382,"slug":381,"count":146},"mongodb","Mongodb",{"key":384,"label":385,"slug":384,"count":146},"neo4j","Neo4J",{"key":387,"label":388,"slug":387,"count":146},"nosql","Nosql",{"key":390,"label":391,"slug":390,"count":146},"dynamodb","Dynamodb",{"key":393,"label":394,"slug":393,"count":146},"ms-powerbi","MS PowerBI",{"key":396,"label":397,"slug":396,"count":146},"pytorch","Pytorch",{"key":399,"label":40,"slug":399,"count":146},"big-data",{"key":401,"label":402,"slug":401,"count":146},"rdf","Rdf",{"key":404,"label":405,"slug":404,"count":146},"etlelt-tools","Etl\u002FElt Tools",{"key":407,"label":59,"slug":407,"count":146},"spanner-graph",{"key":409,"label":45,"slug":409,"count":146},"spark",{"key":411,"label":412,"slug":411,"count":146},"cicd","Ci\u002FCd",{"key":414,"label":415,"slug":414,"count":146},"sparql","Sparql",{"key":417,"label":32,"slug":417,"count":146},"apache-kafka",[419,420,421,422],{"key":23,"label":23,"count":146},{"key":142,"label":142,"count":146},{"key":173,"label":173,"count":99},{"key":266,"label":266,"count":99},[424],{"key":26,"label":26,"count":5},{"total":99,"jobs":426},[427],{"id":428,"slug":429,"title":430,"raw_title":11,"is_featured":431,"company":432,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":438,"processed_home_office":440,"processed_salary_min":441,"processed_salary_max":442,"processed_salary_currency":443,"processed_salary_source":11,"processed_working_hours":444,"processed_employment_types":296,"processed_it_skills":446,"processed_it_skills_labels":11,"processed_job_expertise_skills":447,"processed_job_expertise_skills_labels":448,"max_cpc":454,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":433,"slug":434,"logo_url":435},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[437],"Frankfurt am Main",[439],"DE","HYBRID",45000,65000,"EUR",[445],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[449,450,451,191,452,453],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]