[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-lake-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fdata-lake":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fdata-lake":284,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fdata-lake":425},{},{"total":5,"jobs":6},7,[7,79,132,147,195,236,264],{"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":32,"processed_job_expertise_skills":58,"processed_job_expertise_skills_labels":59,"max_cpc":78,"actual_cpc":78},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":31,"big data":29,"openflow":30,"shareplex":30,"snowflake":29,"aws lambda":30,"aws bedrock":31,"google vertex":31,"informatica cloud":30,"informatica powercenter":30},4,3,2,[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],"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},[60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77],"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":80,"slug":81,"title":82,"raw_title":11,"is_featured":12,"company":83,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":86,"processed_country_iso_code_gmaps":88,"processed_home_office":90,"processed_salary_min":91,"processed_salary_max":92,"processed_salary_currency":93,"processed_salary_source":24,"processed_working_hours":94,"processed_employment_types":27,"processed_it_skills":95,"processed_it_skills_labels":96,"processed_job_expertise_skills":107,"processed_job_expertise_skills_labels":108,"max_cpc":78,"actual_cpc":78},88181,"ind-lead-engineer-data-hartford-global-services-private-limited-3","IND Lead Engineer, Data",{"name":84,"slug":85,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[87],"Hyderabad",[89],"IN","onsite",2500000,4000000,"INR",[26],{"git":30,"sql":29,"unix":30,"numpy":29,"pandas":29,"python":29,"pytorch":30,"tensorflow":30,"aws bedrock":30,"scikit-learn":29,"aws sagemaker":30,"google vertex ai":30,"azure ai services":30},[40,33,97,98,99,100,101,102,103,104,105,56,106],"pandas","NumPy","scikit-learn","PyTorch","TensorFlow","Git","Unix","Google Vertex AI","AWS SageMaker","Azure AI Services",{"ocr":30,"data lake":29,"a\u002Fb testing":29,"ai governance":29,"deep learning":29,"pii detection":29,"drift detection":29,"data warehousing":29,"document parsing":29,"knowledge graphs":29,"machine learning":29,"model evaluation":29,"model monitoring":29,"conversational ai":29,"cloud ai platforms":29,"prompt engineering":29,"text normalization":29,"dimensional modeling":29,"statistical modeling":29,"business intelligence":29,"synthetic data generation":29,"insurance domain knowledge":30,"natural language processing":29,"unstructured data processing":29,"retrieval-augmented generation":29},[109,110,111,112,113,114,62,64,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131],"Statistical Modeling","Machine Learning","Deep Learning","Natural Language Processing","Business Intelligence","Dimensional Modeling","Model Evaluation","Model Monitoring","A\u002FB Testing","Drift Detection","Conversational AI","Retrieval-Augmented Generation","Unstructured Data Processing","Document Parsing","OCR","Text Normalization","PII Detection","Cloud AI Platforms","Insurance Domain Knowledge","AI Governance","Prompt Engineering","Knowledge Graphs","Synthetic Data Generation",{"id":133,"slug":134,"title":82,"raw_title":11,"is_featured":12,"company":135,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":136,"processed_country_iso_code_gmaps":137,"processed_home_office":20,"processed_salary_min":138,"processed_salary_max":139,"processed_salary_currency":93,"processed_salary_source":24,"processed_working_hours":140,"processed_employment_types":27,"processed_it_skills":141,"processed_it_skills_labels":142,"processed_job_expertise_skills":143,"processed_job_expertise_skills_labels":144,"max_cpc":78,"actual_cpc":78},88179,"ind-lead-engineer-data-hartford-global-services-private-limited-2",{"name":84,"slug":85,"logo_url":11},[87],[89],3000000,5000000,[26],{"git":30,"sql":29,"unix":30,"numpy":29,"pandas":29,"python":29,"pytorch":30,"tensorflow":30,"aws bedrock":30,"scikit-learn":29,"aws sagemaker":30,"google vertex ai":30,"azure ai services":30},[40,33,97,98,99,100,101,102,103,104,105,56,106],{"ocr":30,"data lake":29,"a\u002Fb testing":29,"ai governance":30,"deep learning":29,"generative ai":29,"pii detection":30,"data warehouse":29,"drift detection":29,"knowledge graphs":30,"machine learning":29,"conversational ai":29,"prompt engineering":29,"dimensional modeling":29,"statistical modeling":29,"business intelligence":29,"insurance domain knowledge":30,"natural language processing":29,"unstructured data processing":29,"retrieval-augmented generation":29},[109,110,111,112,113,114,145,64,117,118,119,120,121,123,125,127,146,129,130,128],"Data Warehouse","Generative AI",{"id":148,"slug":149,"title":150,"raw_title":11,"is_featured":12,"company":151,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":154,"processed_country_iso_code_gmaps":155,"processed_home_office":90,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":159,"processed_salary_source":24,"processed_working_hours":160,"processed_employment_types":27,"processed_it_skills":161,"processed_it_skills_labels":162,"processed_job_expertise_skills":184,"processed_job_expertise_skills_labels":185,"max_cpc":78,"actual_cpc":78},86217,"data-engineer-mgr-ocbc-bank","Data Engineer (Mgr)",{"name":152,"slug":153,"logo_url":11},"OCBC Bank","ocbc-bank",[],[156],"SG",84000,120000,"SGD",[26],{"aws":31,"etl":31,"ga4":31,"gcp":31,"llm":31,"rag":31,"sql":30,"java":31,"ci\u002Fcd":31,"flask":31,"flink":31,"kafka":31,"redis":31,"spark":31,"docker":31,"python":30,"airflow":31,"pub\u002Fsub":31,"cloudera":31,"redshift":31,"cloud run":31,"mapreduce":31,"rest apis":31,"snowflake":31,"embeddings":31,"kubernetes":31,"semantic search":31,"vector databases":31},[33,40,163,41,164,165,38,166,167,168,169,36,170,171,172,173,174,175,176,42,177,35,178,179,180,181,182,183],"Java","Flink","Airflow","GCP","Docker","Kubernetes","Cloud Run","Flask","REST APIs","Redis","Kafka","Pub\u002FSub","Cloudera","Redshift","GA4","MapReduce","Vector Databases","Embeddings","Semantic Search","RAG","LLM",{"devops":31,"dataops":31,"data lake":30,"orchestration":31,"data pipelines":30,"batch processing":30,"data engineering":30,"data warehousing":30,"ai knowledge base":31,"cloud infrastructure":31,"streaming data processing":31,"banking and financial services":31},[60,186,62,64,187,188,189,190,191,192,193,194],"Data Pipelines","Batch Processing","Streaming Data Processing","Orchestration","Cloud Infrastructure","DevOps","DataOps","AI Knowledge Base","Banking and Financial Services",{"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":203,"processed_home_office":20,"processed_salary_min":204,"processed_salary_max":205,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":206,"processed_employment_types":27,"processed_it_skills":207,"processed_it_skills_labels":208,"processed_job_expertise_skills":218,"processed_job_expertise_skills_labels":219,"max_cpc":78,"actual_cpc":78},80275,"enterprise-architect-emerging-analytics-allstate-insurance-co","Enterprise Architect - Emerging Analytics",{"name":200,"slug":201,"logo_url":11},"Allstate Insurance Co.","allstate-insurance-co",[],[],134000,209750,[26],{"aws":29,"sql":29,"azure":29,"ci\u002Fcd":30,"nosql":30,"devops":30,"python":30,"etl\u002Felt":29,"tableau":30,"snowflake":29,"aws redshift":29,"google cloud":29,"azure synapse":29,"microservices":30,"microsoft fabric":29,"microsoft power bi":30,"data modeling tools (erwin)":30},[33,40,38,39,209,210,211,42,212,213,214,215,36,34,216,191,217],"Google Cloud","Microsoft Power BI","Tableau","AWS Redshift","Azure Synapse","Microsoft Fabric","ETL\u002FELT","Microservices","Data Modeling Tools (ERWIN)",{"agile":30,"etl\u002Felt":29,"data lake":29,"data security":29,"generative ai":30,"mpp databases":29,"data governance":29,"data strategies":29,"data warehousing":29,"data architecture":29,"advanced analytics":29,"cloud modernization":29,"database management":29,"product development":30,"dimensional modeling":29,"big data technologies":29,"business intelligence":29,"analytics architecture":29,"cloud data architecture":29,"enterprise architecture":29,"data lakehouse architecture":29,"enterprise data architecture":29},[220,221,64,222,223,224,225,226,62,113,227,146,228,229,230,231,232,114,215,233,234,235],"Data Architecture","Cloud Data Architecture","Data Lakehouse Architecture","Enterprise Architecture","Data Strategies","Enterprise Data Architecture","Analytics Architecture","Advanced Analytics","Big Data Technologies","Database Management","Data Governance","Data Security","MPP Databases","Cloud Modernization","Agile","Product Development",{"id":237,"slug":238,"title":239,"raw_title":11,"is_featured":12,"company":240,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":244,"processed_country_iso_code_gmaps":246,"processed_home_office":20,"processed_salary_min":248,"processed_salary_max":249,"processed_salary_currency":250,"processed_salary_source":24,"processed_working_hours":251,"processed_employment_types":27,"processed_it_skills":252,"processed_it_skills_labels":253,"processed_job_expertise_skills":258,"processed_job_expertise_skills_labels":259,"max_cpc":78,"actual_cpc":78},45559,"data-engineerarchitect-aws-dia-datamarts2981-allianz-insurance","Data Engineer&Architect AWS (DIA Datamarts)_2981",{"name":241,"slug":242,"logo_url":243},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[245],"Barcelona",[247],"ES",70000,95000,"EUR",[26],{"aws":29,"dbt":29,"etl":29,"genai":30,"github":30,"snowflake":29,"data catalog":30,"data modeling":29,"orchestration":30,"machine learning":30},[42,254,38,46,35,255,256,189,257,110],"DBT","Data Modeling","Data Catalog","GenAI",{"staging":29,"data lake":29,"data marts":29,"data vault":29,"agile delivery":29,"data warehousing":29,"data architecture":29},[220,260,62,261,262,64,263],"Data Vault","Data Marts","Staging","Agile Delivery",{"id":265,"slug":266,"title":267,"raw_title":11,"is_featured":12,"company":268,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":269,"processed_country_iso_code_gmaps":270,"processed_home_office":20,"processed_salary_min":271,"processed_salary_max":272,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":273,"processed_employment_types":27,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":279,"processed_job_expertise_skills_labels":280,"max_cpc":78,"actual_cpc":283},67184,"sr-staff-data-engineer-hartford-ct-hartford-fire-ins-co","Sr. Staff Data Engineer (Hartford, CT)",{"name":14,"slug":15,"logo_url":11},[17],[19],149568,184920,[26],{"aws":29,"etl":29,"sql":29,"cicd":30,"azure":30,"kafka":30,"nosql":29,"spark":29,"python":29,"talend":30,"snowflake":29,"hadoop\u002Femr":30},[40,41,33,34,38,39,42,173,276,277,278,35],"Hadoop\u002FEMR","Talend","CICD",{"sdlc":29,"data lake":30,"data mesh":30,"data engineering":29,"data warehousing":29,"data architecture":29,"agile methodologies":30,"distributed systems":29,"cloud infrastructure":29},[60,62,61,281,282,220,190,63,64],"SDLC","Agile Methodologies",0.5,{"industry":285,"employment_type":296,"expertise_skills":299,"it_skills":353,"salary_currency":418,"processed_working_hours":423},[286,290,293],{"key":287,"label":288,"count":289},"insurance","Insurance",6,{"key":291,"label":292,"count":78},"banking","Banking",{"key":294,"label":295,"count":78},"financial services","Financial Services",[297],{"key":27,"label":298,"count":5},"PERMANENT",[300,302,304,306,308,310,312,314,317,319,322,324,326,328,330,333,335,337,339,341,344,347,349,351],{"key":301,"label":64,"slug":301,"count":5},"data-lake",{"key":303,"label":62,"slug":303,"count":289},"data-warehousing",{"key":305,"label":220,"slug":305,"count":30},"data-architecture",{"key":307,"label":113,"slug":307,"count":30},"business-intelligence",{"key":309,"label":60,"slug":309,"count":30},"data-engineering",{"key":311,"label":114,"slug":311,"count":30},"dimensional-modeling",{"key":313,"label":117,"slug":313,"count":31},"ab-testing",{"key":315,"label":316,"slug":315,"count":31},"ai-governance","Ai Governance",{"key":318,"label":190,"slug":318,"count":31},"cloud-infrastructure",{"key":320,"label":321,"slug":320,"count":31},"conversational-ai","Conversational Ai",{"key":323,"label":63,"slug":323,"count":31},"data-mesh",{"key":325,"label":111,"slug":325,"count":31},"deep-learning",{"key":327,"label":61,"slug":327,"count":31},"distributed-systems",{"key":329,"label":118,"slug":329,"count":31},"drift-detection",{"key":331,"label":332,"slug":331,"count":31},"generative-ai","Generative Ai",{"key":334,"label":127,"slug":334,"count":31},"insurance-domain-knowledge",{"key":336,"label":130,"slug":336,"count":31},"knowledge-graphs",{"key":338,"label":110,"slug":338,"count":31},"machine-learning",{"key":340,"label":112,"slug":340,"count":31},"natural-language-processing",{"key":342,"label":343,"slug":342,"count":31},"ocr","Ocr",{"key":345,"label":346,"slug":345,"count":31},"pii-detection","Pii Detection",{"key":348,"label":129,"slug":348,"count":31},"prompt-engineering",{"key":350,"label":120,"slug":350,"count":31},"retrieval-augmented-generation",{"key":352,"label":109,"slug":352,"count":31},"statistical-modeling",[354,356,358,362,364,367,370,373,375,378,381,384,386,388,390,392,395,397,400,403,406,409,412,415],{"key":355,"label":40,"slug":355,"count":289},"python",{"key":357,"label":33,"slug":357,"count":289},"sql",{"key":359,"label":360,"slug":359,"count":361},"aws","Aws",5,{"key":363,"label":42,"slug":363,"count":361},"snowflake",{"key":365,"label":366,"slug":365,"count":29},"etl","Etl",{"key":368,"label":369,"slug":368,"count":30},"ms-azure","MS Azure",{"key":371,"label":372,"slug":371,"count":30},"nosql","Nosql",{"key":374,"label":41,"slug":374,"count":30},"spark",{"key":376,"label":377,"slug":376,"count":30},"aws-bedrock","Aws Bedrock",{"key":379,"label":380,"slug":379,"count":30},"cicd","Ci\u002FCd",{"key":382,"label":383,"slug":382,"count":31},"tensorflow","Tensorflow",{"key":385,"label":103,"slug":385,"count":31},"unix",{"key":99,"label":387,"slug":99,"count":31},"Scikit-Learn",{"key":97,"label":389,"slug":97,"count":31},"Pandas",{"key":391,"label":173,"slug":391,"count":31},"kafka",{"key":393,"label":394,"slug":393,"count":31},"pytorch","Pytorch",{"key":396,"label":102,"slug":396,"count":31},"git",{"key":398,"label":399,"slug":398,"count":31},"github","Github",{"key":401,"label":402,"slug":401,"count":31},"google-vertex-ai","Google Vertex Ai",{"key":404,"label":405,"slug":404,"count":31},"azure-ai-services","Azure Ai Services",{"key":407,"label":408,"slug":407,"count":31},"numpy","Numpy",{"key":410,"label":411,"slug":410,"count":31},"aws-sagemaker","Aws Sagemaker",{"key":413,"label":414,"slug":413,"count":78},"ga4","Ga4",{"key":416,"label":417,"slug":416,"count":78},"gcp","Gcp",[419,420,421,422],{"key":23,"label":23,"count":30},{"key":93,"label":93,"count":31},{"key":250,"label":250,"count":78},{"key":159,"label":159,"count":78},[424],{"key":26,"label":26,"count":5},{"total":78,"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":250,"processed_salary_source":11,"processed_working_hours":443,"processed_employment_types":298,"processed_it_skills":445,"processed_it_skills_labels":11,"processed_job_expertise_skills":446,"processed_job_expertise_skills_labels":447,"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,[444],"full_time",{},{"Financial Analysis":30,"Regulatory Compliance":30,"New Customer Acquisition":30,"Private Banking Advisory":30,"Banking Products Knowledge":30,"Customer Relationship Management":30},[448,449,450,451,452,453],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]