[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-warehousing-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fdata-warehousing?page=3":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fdata-warehousing?page=3":606,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fdata-warehousing?page=3":796},{},{"total":5,"jobs":6},72,[7,48,96,131,150,174,205,225,254,286,340,378,405,433,458,492,518,538,557,572],{"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":39,"processed_job_expertise_skills_labels":40,"max_cpc":47,"actual_cpc":47},67952,"assistant-vp-system-analyst-unusual-access-monitoring-platform-group-technology-amp-ops-1011-united-overseas-bank-ltd","Assistant VP, System Analyst (Unusual Access Monitoring Platform), Group Technology & Ops",null,false,{"name":14,"slug":15,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[17],"Singapore",[19],"SG","onsite",90000,120000,"SGD","estimated",[26],"FULL_TIME","permanent",{"etl":29,"sql":30,"linux":29,"python":30,"bi tools":29,"cloud platforms":31},3,4,2,[33,34,35,36,37,38],"Python","SQL","Linux","ETL","BI Tools","Cloud Platforms",{"data governance":29,"system analysis":30,"data warehousing":29,"machine learning":29,"project management":29,"business intelligence":30},[41,42,43,44,45,46],"System Analysis","Business Intelligence","Data Warehousing","Data Governance","Machine Learning","Project Management",1,{"id":49,"slug":50,"title":51,"raw_title":11,"is_featured":12,"company":52,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":55,"processed_country_iso_code_gmaps":57,"processed_home_office":59,"processed_salary_min":60,"processed_salary_max":61,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":63,"processed_employment_types":64,"processed_it_skills":65,"processed_it_skills_labels":66,"processed_job_expertise_skills":87,"processed_job_expertise_skills_labels":88,"max_cpc":47,"actual_cpc":47},67188,"tech-amp-data-program-summer-2027-data-engineer-intern-hartford-hartford-fire-ins-co","Tech & Data Program Summer 2027 – Data Engineer Intern (Hartford)",{"name":53,"slug":54,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[56],"Hartford",[58],"US","hybrid",50000,70000,"USD",[26],"student",{"aws":31,"nlp":31,"sql":29,"llms":31,"agile":31,"azure":31,"github":31,"pl\u002Fsql":31,"python":29,"copilot":31,"etl\u002Felt":29,"tableau":31,"snowflake":31,"data quality":31,"google cloud":31,"data modeling":31,"ai\u002Fml concepts":31,"data pipelines":29,"data profiling":31,"data transformation":29,"generative ai tools":31,"data warehouse concepts":31},[33,34,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"PL\u002FSQL","Snowflake","GitHub","AWS","Azure","Google Cloud","Tableau","ETL\u002FELT","Data Pipelines","Data Transformation","Data Profiling","Data Quality","Data Modeling","Data Warehouse Concepts","Agile","AI\u002FML Concepts","Generative AI Tools","LLMs","NLP","Copilot",{"reporting":31,"automation":31,"data mining":31,"etl processes":29,"data analytics":29,"data engineering":29,"data warehousing":31,"machine learning":31,"data visualization":31,"business intelligence":31},[89,90,43,42,91,92,45,93,94,95],"Data Engineering","ETL Processes","Data Mining","Data Analytics","Automation","Data Visualization","Reporting",{"id":97,"slug":98,"title":99,"raw_title":11,"is_featured":12,"company":100,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":103,"processed_country_iso_code_gmaps":105,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":107,"processed_salary_currency":108,"processed_salary_source":24,"processed_working_hours":109,"processed_employment_types":110,"processed_it_skills":111,"processed_it_skills_labels":112,"processed_job_expertise_skills":126,"processed_job_expertise_skills_labels":127,"max_cpc":47,"actual_cpc":47},58446,"senior-data-engineer-data-analytics-platform-80-100-fmd-contract-through-our-external-payroll-partner-with-immediate-start-for-12-months-with-possible-extension-bank-julius-baer-amp-co-ltd","Senior Data Engineer – Data Analytics Platform 80-100% (f\u002Fm\u002Fd) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)",{"name":101,"slug":102,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[104],"Zürich",[106],"CH",150000,"CHF",[26],"contract",{"dbt":29,"sql":30,"azure":30,"ci\u002Fcd":29,"kafka":29,"scala":29,"docker":29,"python":30,"pyspark":30,"databricks":30,"delta lake":29,"event hubs":29,"kubernetes":29,"helm charts":31,"apache flink":31,"spark streaming":29},[33,113,34,114,115,116,117,71,118,119,120,121,122,123,124,125],"Scala","PySpark","Databricks","Spark Streaming","Delta Lake","Kafka","Event Hubs","Apache Flink","Kubernetes","Docker","Helm Charts","dbt","CI\u002FCD",{"etl\u002Felt":30,"data analysis":30,"data modeling":30,"data security":29,"system design":30,"data governance":29,"data warehousing":30,"business intelligence":30},[74,43,42,79,44,128,129,130],"Data Security","System Design","Data Analysis",{"id":132,"slug":133,"title":134,"raw_title":11,"is_featured":12,"company":135,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":138,"processed_country_iso_code_gmaps":139,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":140,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":141,"processed_employment_types":27,"processed_it_skills":142,"processed_it_skills_labels":143,"processed_job_expertise_skills":145,"processed_job_expertise_skills_labels":146,"max_cpc":47,"actual_cpc":47},65619,"data-modeler-sun-life-assurance-company-of-canada-singapore-branch","Data Modeler",{"name":136,"slug":137,"logo_url":11},"Sun Life Assurance Company of Canada, Singapore Branch","sun-life-assurance-company-of-canada-singapore-branch",[17],[19],130000,[26],{"aws":29,"sql":30,"python":29,"tableau":29,"power bi":29},[34,33,73,144,70],"Power BI",{"etl":29,"data modeling":30,"data profiling":29,"data governance":29,"data management":30,"data integration":30,"data warehousing":29,"business requirements analysis":29},[79,147,148,44,77,43,36,149],"Data Integration","Data Management","Business Requirements Analysis",{"id":151,"slug":152,"title":153,"raw_title":11,"is_featured":12,"company":154,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":157,"processed_country_iso_code_gmaps":159,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":161,"processed_salary_source":24,"processed_working_hours":162,"processed_employment_types":27,"processed_it_skills":163,"processed_it_skills_labels":164,"processed_job_expertise_skills":168,"processed_job_expertise_skills_labels":169,"max_cpc":47,"actual_cpc":47},55519,"senior-bi-business-analyst-cmc-markets-stockbroking-services-pty-ltd","Senior BI Business Analyst",{"name":155,"slug":156,"logo_url":11},"CMC Markets Stockbroking Services (Pty) Ltd","cmc-markets-stockbroking-services-pty-ltd",[158],"Sydney",[160],"AU","AUD",[26],{"aws":31,"dbt":29,"sql":30,"qlik":29,"tableau":29,"power bi":30,"snowflake":29,"thoughtspot":31},[34,144,73,165,166,68,167,70],"Qlik","DBT","ThoughtSpot",{"etl":29,"data analysis":30,"data modelling":29,"data warehousing":29,"agile methodology":29,"business analysis":30,"project management":29,"financial industry knowledge":29},[170,130,43,36,171,172,46,173],"Business Analysis","Data Modelling","Agile Methodology","Financial Industry Knowledge",{"id":175,"slug":176,"title":177,"raw_title":11,"is_featured":12,"company":178,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":181,"processed_country_iso_code_gmaps":183,"processed_home_office":20,"processed_salary_min":185,"processed_salary_max":186,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":188,"processed_employment_types":27,"processed_it_skills":189,"processed_it_skills_labels":190,"processed_job_expertise_skills":196,"processed_job_expertise_skills_labels":197,"max_cpc":47,"actual_cpc":47},61475,"data-integration-etl-analyst-mufg-global-service-private-limited","Data Integration, ETL - Analyst",{"name":179,"slug":180,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[182],"Bengaluru",[184],"IN",1000000,2000000,"INR",[26],{"etl":29,"sql":29,"apis":31,"java":31,"react":31,"github":29,"python":29,"github copilot":29,"microsoft copilot":31},[33,34,36,69,191,192,193,194,195],"GitHub Copilot","Java","React","APIs","Microsoft Copilot",{"ai governance":31,"data modeling":29,"data validation":29,"data warehousing":29,"vendor evaluation":31,"data reconciliation":29,"root cause analysis":29,"build vs buy analysis":31,"technical documentation":29},[43,79,198,199,200,201,202,203,204],"Data Validation","Data Reconciliation","Root Cause Analysis","Technical Documentation","Vendor Evaluation","Build vs Buy Analysis","AI Governance",{"id":206,"slug":207,"title":208,"raw_title":11,"is_featured":12,"company":209,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":212,"processed_country_iso_code_gmaps":213,"processed_home_office":20,"processed_salary_min":214,"processed_salary_max":215,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":216,"processed_employment_types":27,"processed_it_skills":217,"processed_it_skills_labels":218,"processed_job_expertise_skills":219,"processed_job_expertise_skills_labels":220,"max_cpc":47,"actual_cpc":47},67436,"data-engineer-ii-snowflake-dbt-aws-020-travelers-indemnity-co","Data Engineer II - Snowflake, dbt, AWS",{"name":210,"slug":211,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[56],[58],126500,208700,[26],{"aws":29,"dbt":30,"sql":30,"snowflake":30},[68,34,124,70],{"data mapping":30,"data quality":29,"data modeling":30,"data security":29,"data governance":29,"data warehousing":30,"systems migration":29,"data virtualization":29,"data pipeline design":30},[43,221,79,222,223,224,44,128,78],"Data Pipeline Design","Data Mapping","Data Virtualization","Systems Migration",{"id":226,"slug":227,"title":228,"raw_title":11,"is_featured":12,"company":229,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":233,"processed_country_iso_code_gmaps":235,"processed_home_office":59,"processed_salary_min":237,"processed_salary_max":238,"processed_salary_currency":239,"processed_salary_source":24,"processed_working_hours":240,"processed_employment_types":27,"processed_it_skills":241,"processed_it_skills_labels":242,"processed_job_expertise_skills":246,"processed_job_expertise_skills_labels":247,"max_cpc":47,"actual_cpc":47},73685,"data-engineer-ibm-cognos-ing-hubs-bv-philippine-branch","Data Engineer (IBM Cognos)",{"name":230,"slug":231,"logo_url":232},"ING Hubs B.V. Philippine Branch","ing-hubs-bv-philippine-branch","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[234],"Makati City",[236],"PH",600000,1200000,"PHP",[26],{"etl":30,"sql":30,"python":31,"power bi":30,"ibm cognos":30,"ibm datastage":30,"relational database management systems (rdbms)":30},[243,144,34,244,36,33,245],"IBM Cognos","IBM DataStage","Relational Database Management Systems (RDBMS)",{"reporting":30,"data quality":30,"data storage":30,"data modeling":30,"data ingestion":30,"dashboard design":30,"data warehousing":30,"data transformation":30,"process improvement":29,"predictive analytics":31,"statistical modeling":31,"business intelligence":30},[43,78,42,79,248,76,249,250,95,251,252,253],"Data Ingestion","Data Storage","Dashboard Design","Predictive Analytics","Statistical Modeling","Process Improvement",{"id":255,"slug":256,"title":257,"raw_title":11,"is_featured":12,"company":258,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":261,"processed_country_iso_code_gmaps":263,"processed_home_office":59,"processed_salary_min":265,"processed_salary_max":266,"processed_salary_currency":267,"processed_salary_source":24,"processed_working_hours":268,"processed_employment_types":27,"processed_it_skills":269,"processed_it_skills_labels":270,"processed_job_expertise_skills":277,"processed_job_expertise_skills_labels":278,"max_cpc":47,"actual_cpc":47},54642,"lead-data-engineer-applied-ai-data-ingestion-amp-integration-bank-of-montreal","Lead Data Engineer, Applied AI Data Ingestion & Integration",{"name":259,"slug":260,"logo_url":11},"Bank of Montreal","bank-of-montreal",[262],"Toronto",[264],"CA",103200,192000,"CAD",[26],{"sql":30,"ci\u002Fcd":29,"mlops":29,"python":30,"tableau":29,"json\u002Fxml":29,"power bi":29,"rest apis":30,"azure ai search":30,"vector databases":30,"azure data factory":30},[34,33,144,73,271,272,273,274,275,125,276],"Azure Data Factory","Azure AI Search","REST APIs","JSON\u002FXML","Vector databases","MLOps",{"etl\u002Felt":30,"data lineage":29,"data quality":30,"data modeling":30,"rag solutions":30,"agile delivery":29,"data governance":30,"data engineering":30,"data integration":30,"data warehousing":30,"metadata management":29,"cloud data platforms":30,"model risk management":29,"multimodal data ingestion":30},[89,74,43,44,78,147,279,79,280,281,282,283,284,285],"Cloud Data Platforms","Data Lineage","Metadata Management","RAG Solutions","Multimodal Data Ingestion","Model Risk Management","Agile Delivery",{"id":287,"slug":288,"title":289,"raw_title":11,"is_featured":12,"company":290,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":293,"processed_country_iso_code_gmaps":295,"processed_home_office":59,"processed_salary_min":22,"processed_salary_max":297,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":298,"processed_employment_types":27,"processed_it_skills":299,"processed_it_skills_labels":300,"processed_job_expertise_skills":315,"processed_job_expertise_skills_labels":316,"max_cpc":47,"actual_cpc":47},65697,"client-and-marketing-analytics-partner-asia-sun-life-assurance-company-of-canada-regional-office","Client and Marketing Analytics Partner, Asia",{"name":291,"slug":292,"logo_url":11},"Sun Life Assurance Company of Canada, Regional Office","sun-life-assurance-company-of-canada-regional-office",[294],"Hong Kong Island",[296],"HK",180000,[26],{"aws":31,"sql":29,"vba":31,"azure":31,"excel":30,"linux":31,"python":29,"marketo":29,"tableau":30,"meta ads":29,"power bi":30,"sprinklr":31,"qualtrics":29,"google ads":29,"salesforce":29,"windsor.ai":29,"adobe target":31,"linkedin ads":29,"supermetrics":29,"microsoft ads":29,"adobe analytics":29},[73,144,34,33,301,302,303,304,305,306,307,308,309,310,311,312,313,314,70,71,35],"VBA","Excel","Salesforce","Adobe Analytics","Marketo","Adobe Target","Google Ads","Meta Ads","LinkedIn Ads","Microsoft Ads","Qualtrics","Sprinklr","Supermetrics","Windsor.ai",{"etl":29,"agentic ai":29,"consulting":29,"data lakes":29,"customer 360":29,"next-best-ad":29,"segmentation":29,"brand management":29,"client analytics":30,"data integration":29,"data warehousing":29,"next-best-action":29,"digital marketing":30,"journey analytics":29,"next-best-channel":29,"next-best-message":29,"data visualization":30,"insurance knowledge":30,"marketing analytics":30,"regional experience":29,"workflow automation":29,"ai-enabled analytics":30,"business intelligence":30,"campaign optimization":30,"performance management":30,"lead generation measurement":30,"financial services knowledge":30,"online-to-offline conversion":30},[317,318,42,94,319,320,321,322,323,147,36,43,324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,339],"Marketing Analytics","Client Analytics","Performance Management","Brand Management","Digital Marketing","Lead Generation Measurement","Online-to-Offline Conversion","Data Lakes","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":341,"slug":342,"title":343,"raw_title":11,"is_featured":12,"company":344,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":345,"processed_country_iso_code_gmaps":346,"processed_home_office":59,"processed_salary_min":347,"processed_salary_max":348,"processed_salary_currency":267,"processed_salary_source":24,"processed_working_hours":349,"processed_employment_types":27,"processed_it_skills":350,"processed_it_skills_labels":351,"processed_job_expertise_skills":362,"processed_job_expertise_skills_labels":363,"max_cpc":47,"actual_cpc":47},70567,"senior-manager-data-engineering-bank-of-montreal","Senior Manager Data Engineering",{"name":259,"slug":260,"logo_url":11},[262],[264],94600,176000,[26],{"aws":30,"sql":30,"jira":29,"ssis":30,"azure":30,"ci\u002Fcd":30,"nosql":30,"scala":30,"spark":30,"devops":30,"hadoop":30,"python":30,"netezza":30,"aws glue":30,"apache airflow":30,"infrastructure as code":30},[34,352,33,353,113,354,355,70,71,356,357,358,359,125,360,361],"NoSQL","Spark","SSIS","AWS Glue","Hadoop","Netezza","Apache Airflow","DevOps","Infrastructure as Code","JIRA",{"qa":30,"etl":30,"debugging":30,"automation":30,"ai concepts":30,"data mining":30,"data mapping":30,"unit testing":30,"data analysis":30,"data modeling":30,"generative ai":30,"agile delivery":30,"data profiling":30,"streaming data":30,"cloud computing":30,"batch processing":30,"data engineering":30,"data warehousing":30,"code optimization":30,"prompt engineering":30,"process improvement":30,"regulatory compliance":30,"solution architecture":30,"software engineering standards":30,"retrieval-augmented generation (rag)":30},[89,36,364,79,91,130,77,222,365,366,367,368,285,369,253,93,370,371,372,373,43,374,375,376,377],"Solution Architecture","AI Concepts","Generative AI","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Software Engineering Standards","Code Optimization","Debugging","Unit Testing","QA","Cloud Computing","Batch Processing","Streaming Data","Regulatory Compliance",{"id":379,"slug":380,"title":381,"raw_title":11,"is_featured":12,"company":382,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":386,"processed_country_iso_code_gmaps":388,"processed_home_office":59,"processed_salary_min":61,"processed_salary_max":390,"processed_salary_currency":391,"processed_salary_source":24,"processed_working_hours":392,"processed_employment_types":27,"processed_it_skills":393,"processed_it_skills_labels":394,"processed_job_expertise_skills":398,"processed_job_expertise_skills_labels":399,"max_cpc":47,"actual_cpc":47},45559,"data-engineerarchitect-aws-dia-datamarts2981-allianz-insurance","Data Engineer&Architect AWS (DIA Datamarts)_2981",{"name":383,"slug":384,"logo_url":385},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[387],"Barcelona",[389],"ES",95000,"EUR",[26],{"aws":30,"dbt":30,"etl":30,"genai":29,"github":29,"snowflake":30,"data catalog":29,"data modeling":30,"orchestration":29,"machine learning":29},[68,166,70,69,36,79,395,396,397,45],"Data Catalog","Orchestration","GenAI",{"staging":30,"data lake":30,"data marts":30,"data vault":30,"agile delivery":30,"data warehousing":30,"data architecture":30},[400,401,43,402,403,404,285],"Data Architecture","Data Vault","Data Marts","Staging","Data Lake",{"id":406,"slug":407,"title":408,"raw_title":11,"is_featured":12,"company":409,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":412,"processed_country_iso_code_gmaps":414,"processed_home_office":20,"processed_salary_min":415,"processed_salary_max":416,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":417,"processed_employment_types":27,"processed_it_skills":418,"processed_it_skills_labels":419,"processed_job_expertise_skills":423,"processed_job_expertise_skills_labels":424,"max_cpc":47,"actual_cpc":47},53944,"associate-data-integrity-group-blue-owl-insurance-solutions-blue-owl-capital-holdings-llc","Associate, Data Integrity Group - Blue Owl Insurance Solutions",{"name":410,"slug":411,"logo_url":11},"Blue Owl Capital Holdings LLC","blue-owl-capital-holdings-llc",[413],"Chicago",[58],75000,105000,[26],{"sql":29,"looker":29,"python":29,"tableau":29,"power bi":29,"snowflake":29,"microsoft excel":30,"blackrock aladdin":30},[420,421,34,68,144,73,422,33],"Microsoft Excel","BlackRock Aladdin","Looker",{"auditing":29,"automation":29,"data quality":30,"data modeling":29,"documentation":29,"etl processes":29,"reconciliation":29,"data governance":30,"data warehousing":29,"process improvement":29,"compliance reporting":29,"fixed income knowledge":29,"equity markets knowledge":29,"private credit knowledge":29,"investment data management":30},[44,78,425,43,90,79,426,427,428,429,430,431,253,93,432],"Investment Data Management","Fixed Income Knowledge","Private Credit Knowledge","Equity Markets Knowledge","Compliance Reporting","Auditing","Reconciliation","Documentation",{"id":434,"slug":435,"title":436,"raw_title":11,"is_featured":12,"company":437,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":438,"processed_country_iso_code_gmaps":439,"processed_home_office":20,"processed_salary_min":440,"processed_salary_max":441,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":442,"processed_employment_types":27,"processed_it_skills":443,"processed_it_skills_labels":444,"processed_job_expertise_skills":449,"processed_job_expertise_skills_labels":450,"max_cpc":47,"actual_cpc":47},49354,"sql-developer-sr-analyst-mufg-global-service-private-limited","SQL Developer - Sr Analyst",{"name":179,"slug":180,"logo_url":11},[182],[184],1500000,2500000,[26],{"sql":30,"ssis":30,"ssrs":29,"ci\u002Fcd":31,"oracle":31,"python":31,"power bi":29,"control-m":31,"snowflake":31,"powershell":31},[34,354,445,144,33,446,68,447,448,125],"SSRS","PowerShell","Oracle","Control-M",{"etl\u002Felt":30,"data security":29,"data integration":30,"data warehousing":30,"devops practices":31,"performance tuning":30,"query optimization":30,"star schema design":30,"agile methodologies":31,"dimensional modeling":30,"execution plan analysis":30},[43,451,452,453,454,455,74,147,128,456,457],"Dimensional Modeling","Star Schema Design","Performance Tuning","Query Optimization","Execution Plan Analysis","Agile Methodologies","DevOps Practices",{"id":459,"slug":460,"title":461,"raw_title":11,"is_featured":12,"company":462,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":465,"processed_country_iso_code_gmaps":467,"processed_home_office":20,"processed_salary_min":107,"processed_salary_max":468,"processed_salary_currency":469,"processed_salary_source":24,"processed_working_hours":470,"processed_employment_types":27,"processed_it_skills":471,"processed_it_skills_labels":472,"processed_job_expertise_skills":483,"processed_job_expertise_skills_labels":484,"max_cpc":47,"actual_cpc":47},59386,"principal-cloud-data-architect-lseg","Principal - Cloud Data Architect",{"name":463,"slug":464,"logo_url":11},"LSEG","lseg",[466],"Allen",[58],200000,"GBP",[26],{"aws":30,"gcp":29,"sql":30,"azure":30,"hbase":29,"kafka":29,"python":30,"airflow":29,"graphql":29,"kinesis":29,"mongodb":29,"cosmosdb":29,"dataflow":29,"dynamodb":29,"snowflake":30,"databricks":30},[34,33,70,71,473,118,474,475,476,477,478,479,480,481,68,482],"GCP","Kinesis","DataFlow","Airflow","MongoDB","DynamoDB","HBase","CosmosDB","GraphQL","DataBricks",{"nosql":29,"data quality":30,"data delivery":30,"cloud services":30,"data governance":29,"data integration":30,"data warehousing":30,"data architecture":30,"predictive modeling":29,"relational modeling":30,"prescriptive modeling":29,"master data management":29,"real-time data distribution":29},[400,485,44,486,147,78,487,488,489,352,43,490,491],"Cloud Services","Master Data Management","Data Delivery","Relational Modeling","Real-time Data Distribution","Predictive Modeling","Prescriptive Modeling",{"id":493,"slug":494,"title":495,"raw_title":11,"is_featured":12,"company":496,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":499,"processed_country_iso_code_gmaps":501,"processed_home_office":59,"processed_salary_min":502,"processed_salary_max":503,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":504,"processed_employment_types":27,"processed_it_skills":505,"processed_it_skills_labels":506,"processed_job_expertise_skills":512,"processed_job_expertise_skills_labels":513,"max_cpc":47,"actual_cpc":47},83618,"principal-marketing-data-ops-engineer-ii-government-employees-insurance-company","Principal Marketing Data Ops Engineer II",{"name":497,"slug":498,"logo_url":11},"Government Employees Insurance Company","government-employees-insurance-company",[500],"Bethesda",[58],115000,260000,[26],{"sql":30,"scala":29,"devops":29,"python":30,"statsig":31,"rest apis":30,"snowflake":30,"databricks":29,"etl\u002Felt pipelines":30,"azure data factory":31,"microsoft dynamics":31,"ai-assisted development tools":31,"cloud infrastructure (azure\u002Faws\u002Fgcp)":30},[33,113,34,68,115,507,508,359,273,509,510,271,511],"ETL\u002FELT Pipelines","Cloud Infrastructure (Azure\u002FAWS\u002FGCP)","Microsoft Dynamics","Statsig","AI-assisted development tools",{"crm systems":29,"data engineering":30,"data warehousing":30,"marketing automation":29,"data quality monitoring":29,"event-driven architecture":29},[89,514,515,43,516,517],"Marketing Automation","CRM Systems","Event-Driven Architecture","Data Quality Monitoring",{"id":519,"slug":520,"title":521,"raw_title":11,"is_featured":12,"company":522,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":525,"processed_country_iso_code_gmaps":527,"processed_home_office":20,"processed_salary_min":529,"processed_salary_max":530,"processed_salary_currency":62,"processed_salary_source":24,"processed_working_hours":531,"processed_employment_types":27,"processed_it_skills":532,"processed_it_skills_labels":533,"processed_job_expertise_skills":535,"processed_job_expertise_skills_labels":536,"max_cpc":47,"actual_cpc":47},63206,"senior-executive-data-amp-reporting-clm-hub-pcla-prudential-cambodia-life-assurance","Senior Executive, Data & Reporting, CLM Hub",{"name":523,"slug":524,"logo_url":11},"Prudential (Cambodia) Life Assurance","prudential-cambodia-life-assurance",[526],"Phnom Penh",[528],"Kambodscha",20000,30000,[26],{"dax":29,"sql":30,"tableau":30,"power bi":30},[73,144,34,534],"DAX",{"data mining":29,"data analysis":30,"data modeling":29,"etl processes":29,"kpi monitoring":29,"data integration":29,"data warehousing":29,"project management":29},[130,91,43,90,79,147,46,537],"KPI Monitoring",{"id":539,"slug":540,"title":541,"raw_title":11,"is_featured":12,"company":542,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":543,"processed_country_iso_code_gmaps":544,"processed_home_office":20,"processed_salary_min":186,"processed_salary_max":545,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":546,"processed_employment_types":27,"processed_it_skills":547,"processed_it_skills_labels":548,"processed_job_expertise_skills":551,"processed_job_expertise_skills_labels":552,"max_cpc":47,"actual_cpc":47},49326,"data-engineering-developer-mufg-global-service-private-limited","Data Engineering- Developer",{"name":179,"slug":180,"logo_url":11},[182],[184],4000000,[26],{"aws":29,"gcp":29,"sql":30,"azure":29,"pl\u002Fsql":30,"control-m":29,"snowflake":30,"databricks":29,"informatica idmc":30,"azure data factory":29,"informatica powercenter":29},[34,67,549,550,68,271,448,70,71,473,115],"Informatica IDMC","Informatica PowerCenter",{"code review":29,"data modeling":30,"documentation":29,"data integration":30,"data warehousing":30,"performance tuning":30,"project management":29,"change data capture":30,"etl\u002Felt development":30,"cloud data platforms":30,"data quality assurance":30},[553,79,43,554,555,279,147,453,556,432,46],"ETL\u002FELT Development","Change Data Capture","Data Quality Assurance","Code Review",{"id":558,"slug":559,"title":560,"raw_title":11,"is_featured":12,"company":561,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":562,"processed_country_iso_code_gmaps":563,"processed_home_office":20,"processed_salary_min":564,"processed_salary_max":565,"processed_salary_currency":187,"processed_salary_source":24,"processed_working_hours":566,"processed_employment_types":27,"processed_it_skills":567,"processed_it_skills_labels":568,"processed_job_expertise_skills":569,"processed_job_expertise_skills_labels":570,"max_cpc":47,"actual_cpc":47},49324,"data-engineering-solution-designer-mufg-global-service-private-limited","Data Engineering - Solution Designer",{"name":179,"slug":180,"logo_url":11},[182],[184],3000000,5000000,[26],{"aws":29,"gcp":29,"sql":30,"azure":29,"pl\u002Fsql":30,"control-m":29,"snowflake":30,"databricks":29,"informatica idmc":30,"azure data factory":29,"informatica powercenter":29},[549,550,68,34,67,271,448,70,71,473,115],{"data modeling":30,"data warehousing":30,"data architecture":30,"project management":29,"change data capture":30,"etl\u002Felt development":30,"cloud data platforms":30,"data quality assurance":30,"stakeholder management":30,"technical documentation":29},[553,79,43,554,555,279,400,201,571,46],"Stakeholder Management",{"id":573,"slug":574,"title":575,"raw_title":11,"is_featured":12,"company":576,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":579,"processed_country_iso_code_gmaps":581,"processed_home_office":20,"processed_salary_min":22,"processed_salary_max":297,"processed_salary_currency":583,"processed_salary_source":24,"processed_working_hours":584,"processed_employment_types":27,"processed_it_skills":585,"processed_it_skills_labels":586,"processed_job_expertise_skills":595,"processed_job_expertise_skills_labels":596,"max_cpc":47,"actual_cpc":605},68260,"service-recovery-head-application-support-6255-uob-innovation-hub-2-sdn-bhd","Service Recovery Head (Application Support)",{"name":577,"slug":578,"logo_url":11},"UOB Innovation Hub 2 Sdn Bhd","uob-innovation-hub-2-sdn-bhd",[580],"Kuala Lumpur",[582],"MY","MYR",[26],{"c++":29,"sql":30,"as400":29,"oracle":29,"splunk":29,"sybase":29,"scripting":29,"unix\u002Flinux":30,"itrs geneos":29,"windows server":29,"cloud computing":29},[34,587,588,589,590,591,447,592,593,594,374],"Unix\u002FLinux","Windows Server","AS400","ITRS Geneos","Splunk","Sybase","C++","Scripting",{"itil":29,"sla compliance":30,"payment systems":30,"data warehousing":29,"change management":30,"problem management":30,"service management":30,"incident management":30,"root cause analysis":30,"banking systems knowledge":30},[597,598,599,600,601,200,602,603,43,604],"Incident Management","Problem Management","Change Management","Service Management","SLA Compliance","Banking Systems Knowledge","Payment Systems","ITIL",0.5,{"industry":607,"employment_type":642,"expertise_skills":650,"it_skills":718,"salary_currency":782,"processed_working_hours":794},[608,612,616,620,624,627,630,633,636,639],{"key":609,"label":610,"count":611},"financial services","Financial Services",32,{"key":613,"label":614,"count":615},"insurance","Insurance",27,{"key":617,"label":618,"count":619},"banking","Banking",17,{"key":621,"label":622,"count":623},"financial markets infrastructure","Financial Markets Infrastructure",5,{"key":625,"label":626,"count":30},"asset management","Asset Management",{"key":628,"label":629,"count":29},"data provider","Data Provider",{"key":631,"label":632,"count":31},"data","Data",{"key":634,"label":635,"count":47},"wealth management","Wealth Management",{"key":637,"label":638,"count":47},"fund administration","Fund Administration",{"key":640,"label":641,"count":47},"middle office","Middle Office",[643,646,648],{"key":27,"label":644,"count":645},"PERMANENT",68,{"key":110,"label":647,"count":31},"CONTRACT",{"key":64,"label":649,"count":31},"STUDENT",[651,653,656,659,661,664,667,671,674,677,679,683,685,688,691,693,696,700,703,705,707,710,712,715],{"key":652,"label":43,"slug":652,"count":5},"data-warehousing",{"key":654,"label":79,"slug":654,"count":655},"data-modeling",28,{"key":657,"label":44,"slug":657,"count":658},"data-governance",21,{"key":660,"label":89,"slug":660,"count":658},"data-engineering",{"key":662,"label":147,"slug":662,"count":663},"data-integration",19,{"key":665,"label":78,"slug":665,"count":666},"data-quality",18,{"key":668,"label":669,"slug":668,"count":670},"project-management","Project management",14,{"key":672,"label":42,"slug":672,"count":673},"business-intelligence",13,{"key":675,"label":130,"slug":675,"count":676},"data-analysis",12,{"key":678,"label":400,"slug":678,"count":676},"data-architecture",{"key":680,"label":681,"slug":680,"count":682},"etlelt","Etl\u002FElt",11,{"key":684,"label":453,"slug":684,"count":682},"performance-tuning",{"key":686,"label":280,"slug":686,"count":687},"data-lineage",9,{"key":689,"label":456,"slug":689,"count":690},"agile-methodologies",8,{"key":692,"label":93,"slug":692,"count":690},"automation",{"key":694,"label":695,"slug":694,"count":690},"etl","Etl",{"key":697,"label":698,"slug":697,"count":699},"devops","Devops",7,{"key":701,"label":451,"slug":701,"count":702},"dimensional-modeling",6,{"key":704,"label":148,"slug":704,"count":702},"data-management",{"key":706,"label":404,"slug":706,"count":702},"data-lake",{"key":708,"label":709,"slug":708,"count":702},"risk-management","Risk Management",{"key":711,"label":377,"slug":711,"count":702},"regulatory-compliance",{"key":713,"label":714,"slug":713,"count":702},"quality-assurance","Quality Assurance",{"key":716,"label":717,"slug":716,"count":623},"database-development","Database Development",[719,722,725,728,731,735,738,741,743,745,747,749,751,754,756,758,761,764,766,768,771,774,777,780],{"key":720,"label":34,"slug":720,"count":721},"sql",61,{"key":723,"label":33,"slug":723,"count":724},"python",45,{"key":726,"label":68,"slug":726,"count":727},"snowflake",34,{"key":729,"label":730,"slug":729,"count":611},"aws","Aws",{"key":732,"label":733,"slug":732,"count":734},"cicd","Ci\u002FCd",22,{"key":736,"label":737,"slug":736,"count":663},"ms-azure","MS Azure",{"key":739,"label":740,"slug":739,"count":666},"ms-powerbi","MS PowerBI",{"key":694,"label":695,"slug":694,"count":742},15,{"key":744,"label":353,"slug":744,"count":673},"spark",{"key":746,"label":73,"slug":746,"count":673},"tableau",{"key":748,"label":115,"slug":748,"count":682},"databricks",{"key":750,"label":447,"slug":750,"count":682},"oracle",{"key":752,"label":118,"slug":752,"count":753},"kafka",10,{"key":124,"label":755,"slug":124,"count":687},"Dbt",{"key":757,"label":113,"slug":757,"count":687},"scala",{"key":759,"label":760,"slug":759,"count":687},"github","Github",{"key":762,"label":763,"slug":762,"count":687},"gcp","Gcp",{"key":765,"label":271,"slug":765,"count":687},"azure-data-factory",{"key":767,"label":192,"slug":767,"count":690},"java",{"key":769,"label":770,"slug":769,"count":699},"vector-databases","Vector Databases",{"key":772,"label":773,"slug":772,"count":699},"sql-server","Sql Server",{"key":775,"label":776,"slug":775,"count":699},"plsql","Pl\u002FSql",{"key":778,"label":779,"slug":778,"count":699},"nosql","Nosql",{"key":781,"label":122,"slug":781,"count":702},"docker",[783,785,786,787,788,789,790,791,792,793],{"key":62,"label":62,"count":784},24,{"key":187,"label":187,"count":670},{"key":391,"label":391,"count":687},{"key":23,"label":23,"count":690},{"key":267,"label":267,"count":623},{"key":239,"label":239,"count":30},{"key":469,"label":469,"count":30},{"key":108,"label":108,"count":31},{"key":583,"label":583,"count":47},{"key":161,"label":161,"count":47},[795],{"key":26,"label":26,"count":5},{"total":47,"jobs":797},[]]