[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-ingestion-global":3,"job-search-\u002Fde\u002Fjobs-by-expertise\u002Fdata-ingestion":4,"expertise-filters-\u002Fde\u002Fjobs-by-expertise\u002Fdata-ingestion":531,"featured-jobs-\u002Fde\u002Fjobs-by-expertise\u002Fdata-ingestion":680},{},{"total":5,"jobs":6},11,[7,111,161,195,224,261,307,338,366,460,504],{"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":17,"processed_home_office":18,"processed_salary_min":19,"processed_salary_max":20,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":23,"processed_employment_types":25,"processed_it_skills":26,"processed_it_skills_labels":28,"processed_job_expertise_skills":54,"processed_job_expertise_skills_labels":55,"max_cpc":110,"actual_cpc":110},88128,"avp-data-platform-engineering-hartford-fire-ins-co-2","AVP, Data Platform Engineering",null,false,{"name":14,"slug":15,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[],[],"hybrid",201500,302500,"USD","estimated",[24],"FULL_TIME","permanent",{"api":27,"sql":27,"llms":27,"ci\u002Fcd":27,"spark":27,"python":27,"tableau":27,"dataflow":27,"dataproc":27,"pinecone":27,"postgres":27,"snowflake":27,"vertex ai":27,"opensearch":27,"thoughtspot":27,"google bigquery":27,"graph databases":27,"informatica idmc":27,"knowledge graphs":27,"snowflake cortex":27,"vector databases":27,"prompt engineering":27,"gcp gemini enterprise":27,"infrastructure-as-code":27,"retrieval-augmented generation (rag)":27},4,[29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53],"Snowflake","Google BigQuery","Dataproc","Dataflow","Informatica IDMC","Spark","Tableau","ThoughtSpot","SQL","Python","LLMs","Prompt Engineering","Retrieval-Augmented Generation (RAG)","Vector Databases","Vertex AI","Postgres","OpenSearch","Pinecone","CI\u002FCD","Infrastructure-as-Code","API","Snowflake Cortex","GCP Gemini Enterprise","Knowledge Graphs","Graph Databases",{"okrs":27,"lineage":27,"privacy":27,"security":27,"automation":27,"compliance":27,"reliability":27,"data quality":27,"cybersecurity":27,"observability":27,"orchestration":27,"vector search":27,"ai integration":27,"chat with data":27,"data analytics":27,"data ingestion":27,"metrics layers":27,"prioritization":27,"transformation":27,"cost management":27,"data governance":27,"risk management":27,"semantic layers":27,"data warehousing":27,"agentic analytics":27,"ai\u002Fml integration":27,"data architecture":27,"semantic modeling":27,"governed analytics":27,"performance tuning":27,"product management":27,"contextual metadata":27,"metadata management":27,"operational support":27,"reusable frameworks":27,"roadmap development":27,"adoption measurement":27,"cloud data platforms":27,"financial management":27,"business intelligence":27,"platform architecture":27,"self-service analytics":27,"stakeholder engagement":27,"dashboard modernization":27,"data consumption models":27,"vendor data integration":27,"business user enablement":27,"conversational analytics":27,"engineering productivity":27,"platform standardization":27,"data platform engineering":27,"external data acquisition":27,"ontology-driven solutions":27,"third-party data strategy":27},[56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109],"Data Platform Engineering","Data Architecture","Data Analytics","Business Intelligence","Data Warehousing","Cloud Data Platforms","Platform Architecture","Data Ingestion","Orchestration","Transformation","Observability","Performance Tuning","Reliability","Automation","Cost Management","Security","Operational Support","Engineering Productivity","Platform Standardization","Reusable Frameworks","Self-Service Analytics","Governed Analytics","Semantic Modeling","Dashboard Modernization","Business User Enablement","AI Integration","Conversational Analytics","Chat with Data","Agentic Analytics","Vector Search","AI\u002FML Integration","Semantic Layers","Metrics Layers","Ontology-Driven Solutions","Contextual Metadata","Third-Party Data Strategy","Vendor Data Integration","External Data Acquisition","Data Consumption Models","Product Management","Roadmap Development","Prioritization","Stakeholder Engagement","OKRs","Financial Management","Adoption Measurement","Data Governance","Cybersecurity","Privacy","Compliance","Data Quality","Lineage","Metadata Management","Risk Management",1,{"id":112,"slug":113,"title":114,"raw_title":11,"is_featured":12,"company":115,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":118,"processed_country_iso_code_gmaps":120,"processed_home_office":122,"processed_salary_min":123,"processed_salary_max":124,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":125,"processed_employment_types":25,"processed_it_skills":126,"processed_it_skills_labels":128,"processed_job_expertise_skills":138,"processed_job_expertise_skills_labels":139,"max_cpc":110,"actual_cpc":110},83029,"associate-loans-strat-group-strategic-analytics-5006-deutsche-bank-securities-inc","Associate, Loans Strat, Group Strategic Analytics",{"name":116,"slug":117,"logo_url":11},"5006 Deutsche Bank Securities Inc.","5006-deutsche-bank-securities-inc",[119],"New York",[121],"US","onsite",150000,163000,[24],{"c++":127,"git":127,"sql":27,"html":127,"numpy":27,"pandas":27,"python":27,"javascript":127,"typescript":127,"oracle apis":127,"ci\u002Fcd pipelines":127},3,[38,129,130,37,131,132,133,134,135,136,137],"Pandas","NumPy","C++","Oracle APIs","HTML","JavaScript","TypeScript","Git","CI\u002FCD pipelines",{"data ingestion":27,"risk measurement":27,"data model design":27,"index computation":27,"financial valuation":27,"root cause analysis":27,"front-end interfaces":127,"web pages development":127,"quantitative analytics":27,"accrual-based analytics":27,"performance attribution":27,"valuation methodologies":27,"automated workflow tools":27,"relational database design":27,"large-scale data processing":27,"data pipeline implementation":27,"production reporting systems":27,"profit and loss calculations":27,"financial calculation engines":27,"portfolio-level risk measurement":27,"multi-asset financial instrument analytics":27},[140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160],"Valuation methodologies","Quantitative analytics","Financial valuation","Risk measurement","Large-scale data processing","Production reporting systems","Root cause analysis","Financial calculation engines","Index computation","Performance attribution","Accrual-based analytics","Relational database design","Multi-asset financial instrument analytics","Portfolio-level risk measurement","Automated workflow tools","Profit and loss calculations","Data ingestion","Data model design","Data pipeline implementation","Front-end interfaces","Web pages development",{"id":162,"slug":163,"title":164,"raw_title":11,"is_featured":12,"company":165,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":169,"processed_country_iso_code_gmaps":171,"processed_home_office":18,"processed_salary_min":173,"processed_salary_max":174,"processed_salary_currency":175,"processed_salary_source":22,"processed_working_hours":176,"processed_employment_types":25,"processed_it_skills":177,"processed_it_skills_labels":178,"processed_job_expertise_skills":184,"processed_job_expertise_skills_labels":185,"max_cpc":110,"actual_cpc":110},84392,"compliance-data-methodology-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Compliance Data Methodology",{"name":166,"slug":167,"logo_url":168},"ING Hubs B.V. sp. z o.o. Oddzial w Polsce","ing-hubs-bv-sp-z-oo-oddzial-w-polsce","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[170],"Warszawa",[172],"PL",156000,216000,"PLN",[24],{"dash":27,"numpy":27,"cognos":27,"pandas":27,"python":27,"power bi":27,"tensorflow":27,"scikit-learn":27},[38,129,130,179,180,181,182,183],"Scikit-learn","TensorFlow","Dash","Power BI","Cognos",{"data literacy":27,"data ingestion":27,"digitalisation":27,"data governance":27,"data management":27,"data architecture":27,"rapid prototyping":27,"data visualisation":27,"project management":27,"dashboard development":27,"ai and machine learning":27,"compliance risk management":27},[186,102,57,63,187,188,189,190,191,192,193,194],"Data Management","Compliance Risk Management","AI and Machine Learning","Rapid Prototyping","Dashboard Development","Data Visualisation","Project Management","Data Literacy","Digitalisation",{"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":122,"processed_salary_min":206,"processed_salary_max":207,"processed_salary_currency":208,"processed_salary_source":22,"processed_working_hours":209,"processed_employment_types":25,"processed_it_skills":210,"processed_it_skills_labels":211,"processed_job_expertise_skills":216,"processed_job_expertise_skills_labels":217,"max_cpc":110,"actual_cpc":110},75326,"senior-manager-finance-operations-reference-data-management-mg-global-services","Senior Manager - Finance Operations (Reference Data Management)",{"name":200,"slug":201,"logo_url":11},"M&G Global Services","mg-global-services",[203],"Mumbai",[205],"IN",2000000,3000000,"INR",[24],{"excel":127,"aladdin":127,"reporting tools":127,"data management platforms":127},[212,213,214,215],"Aladdin","Data Management Platforms","Reporting Tools","Excel",{"documentation":27,"data ingestion":27,"data governance":27,"financial reporting":27,"liquidity reporting":27,"exception management":27,"change impact assessment":27,"reference data management":27},[218,102,63,219,220,221,222,223],"Reference Data Management","Exception Management","Liquidity Reporting","Change Impact Assessment","Documentation","Financial Reporting",{"id":225,"slug":226,"title":227,"raw_title":11,"is_featured":12,"company":228,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":231,"processed_country_iso_code_gmaps":233,"processed_home_office":18,"processed_salary_min":235,"processed_salary_max":236,"processed_salary_currency":237,"processed_salary_source":22,"processed_working_hours":238,"processed_employment_types":25,"processed_it_skills":239,"processed_it_skills_labels":240,"processed_job_expertise_skills":250,"processed_job_expertise_skills_labels":251,"max_cpc":110,"actual_cpc":110},71870,"senior-security-engineer-fmx-f063-db-global-technology-srl","Senior Security Engineer (f\u002Fm\u002Fx)",{"name":229,"slug":230,"logo_url":11},"F063 DB Global Technology SRL","f063-db-global-technology-srl",[232],"Bukarest",[234],"RO",60000,90000,"EUR",[24],{"ci\u002Fcd":27,"python":27,"devsecops":27,"terraform":27,"github actions":27,"github runners":27,"microsoft azure":27,"siem (google chronicle)":27,"siem (microsoft sentinel)":27,"google cloud platform (gcp)":27,"infrastructure as code (iac)":27},[38,241,242,243,244,245,246,247,248,249,47],"Terraform","GitHub Actions","GitHub Runners","Google Cloud Platform (GCP)","Microsoft Azure","SIEM (Microsoft Sentinel)","SIEM (Google Chronicle)","Infrastructure as Code (IaC)","DevSecOps",{"ai tools":127,"cloud security":27,"data ingestion":27,"threat detection":27,"detection-as-code":27,"vendor management":127,"threat remediation":27,"security automation":27,"security compliance":27,"security monitoring":27},[252,253,254,255,256,257,258,259,63,260],"Cloud Security","Security Monitoring","Threat Detection","Threat Remediation","Security Compliance","Vendor Management","Security Automation","Detection-as-Code","AI Tools",{"id":262,"slug":263,"title":264,"raw_title":11,"is_featured":12,"company":265,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":268,"processed_country_iso_code_gmaps":269,"processed_home_office":122,"processed_salary_min":271,"processed_salary_max":272,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":273,"processed_employment_types":25,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":293,"processed_job_expertise_skills_labels":294,"max_cpc":110,"actual_cpc":110},69431,"data-engineering-associate-ii-5-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-5",{"name":266,"slug":267,"logo_url":11},"BANCO PROVINCIAL, S.A.","banco-provincial-sa",[],[270],"Venezuela",30000,50000,[24],{"git":127,"sql":27,"hdfs":127,"linux":127,"aws s3":127,"docker":127,"hadoop":127,"podman":127,"python":27,"aws emr":127,"aws iam":127,"etl\u002Felt":27,"pyspark":27,"aws glue":127,"aws athena":127,"aws lambda":127,"apache spark":27,"aws sagemaker":127,"bash scripting":127,"big data ecosystems":127},[38,276,277,37,278,279,280,281,136,282,283,284,285,286,287,288,289,290,291,292],"PySpark","Apache Spark","ETL\u002FELT","Hadoop","HDFS","Big Data Ecosystems","Linux","Bash Scripting","Docker","Podman","AWS S3","AWS Athena","AWS Glue","AWS EMR","AWS Lambda","AWS IAM","AWS SageMaker",{"data security":127,"data ingestion":27,"api consumption":127,"data governance":127,"data availability":27,"data traceability":127,"database modeling":127,"data transformation":27,"data pipeline design":27,"database optimization":127,"distributed processing":27,"data quality management":127,"data pipeline automation":27,"data pipeline maintenance":27},[295,102,296,297,298,299,300,63,301,302,303,304,305,306],"Data Quality Management","Data Security","Data Traceability","Data Pipeline Design","Data Pipeline Automation","Data Pipeline Maintenance","Data Transformation","Data Availability","API Consumption","Distributed Processing","Database Modeling","Database Optimization",{"id":308,"slug":309,"title":310,"raw_title":11,"is_featured":12,"company":311,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":315,"processed_country_iso_code_gmaps":317,"processed_home_office":18,"processed_salary_min":235,"processed_salary_max":236,"processed_salary_currency":237,"processed_salary_source":22,"processed_working_hours":319,"processed_employment_types":25,"processed_it_skills":320,"processed_it_skills_labels":322,"processed_job_expertise_skills":329,"processed_job_expertise_skills_labels":330,"max_cpc":110,"actual_cpc":110},71082,"data-engineer-allianz-insurance-4","Data Engineer",{"name":312,"slug":313,"logo_url":314},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[316],"Budapest",[318],"HU",[24],{"sas":321,"sql":127,"spark":127,"github":127,"python":127,"powerbi":321,"azure notebooks":127,"azure pipelines":127,"azure synapse analytics":127},2,[38,37,34,323,324,325,326,327,328],"GitHub","Azure Synapse Analytics","PowerBI","SAS","Azure Notebooks","Azure Pipelines",{"etl":27,"migration":127,"data quality":27,"data modeling":127,"data ingestion":27,"ai technologies":321,"data integration":27,"data warehousing":27,"data transformation":27,"data platform architectures":127,"monitoring and optimization":127},[60,331,332,333,334,106,301,63,335,336,337],"ETL","Data Integration","Data Modeling","Data Platform Architectures","Monitoring and Optimization","Migration","AI Technologies",{"id":339,"slug":340,"title":341,"raw_title":11,"is_featured":12,"company":342,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":345,"processed_country_iso_code_gmaps":347,"processed_home_office":18,"processed_salary_min":349,"processed_salary_max":350,"processed_salary_currency":351,"processed_salary_source":22,"processed_working_hours":352,"processed_employment_types":25,"processed_it_skills":353,"processed_it_skills_labels":354,"processed_job_expertise_skills":358,"processed_job_expertise_skills_labels":359,"max_cpc":110,"actual_cpc":110},73685,"data-engineer-ibm-cognos-ing-hubs-bv-philippine-branch","Data Engineer (IBM Cognos)",{"name":343,"slug":344,"logo_url":168},"ING Hubs B.V. Philippine Branch","ing-hubs-bv-philippine-branch",[346],"Makati City",[348],"PH",600000,1200000,"PHP",[24],{"etl":27,"sql":27,"python":321,"power bi":27,"ibm cognos":27,"ibm datastage":27,"relational database management systems (rdbms)":27},[355,182,37,356,331,38,357],"IBM Cognos","IBM DataStage","Relational Database Management Systems (RDBMS)",{"reporting":27,"data quality":27,"data storage":27,"data modeling":27,"data ingestion":27,"dashboard design":27,"data warehousing":27,"data transformation":27,"process improvement":127,"predictive analytics":321,"statistical modeling":321,"business intelligence":27},[60,106,59,333,63,301,360,361,362,363,364,365],"Data Storage","Dashboard Design","Reporting","Predictive Analytics","Statistical Modeling","Process Improvement",{"id":367,"slug":368,"title":369,"raw_title":11,"is_featured":12,"company":370,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":373,"processed_country_iso_code_gmaps":375,"processed_home_office":122,"processed_salary_min":123,"processed_salary_max":377,"processed_salary_currency":378,"processed_salary_source":22,"processed_working_hours":379,"processed_employment_types":25,"processed_it_skills":380,"processed_it_skills_labels":381,"processed_job_expertise_skills":398,"processed_job_expertise_skills_labels":399,"max_cpc":110,"actual_cpc":110},63088,"senior-manager-data-platform-engineering-pamb-prudential-assurance-malaysia-berhad","Senior Manager, Data Platform Engineering",{"name":371,"slug":372,"logo_url":11},"Prudential Assurance Malaysia Berhad","prudential-assurance-malaysia-berhad",[374],"Kuala Lumpur",[376],"MY",200000,"MYR",[24],{"sql":27,"ci\u002Fcd":27,"kafka":127,"scala":27,"spark":27,"python":27,"graphql":127,"mongodb":127,"collibra":127,"fivetran":127,"power bi":127,"cosmos db":27,"datastage":127,"event hub":127,"delta lake":27,"informatica":127,"unity catalog":27,"qlik replicate":127,"azure data lake":27,"azure databricks":27,"azure data factory":27},[382,383,384,385,386,182,38,387,37,34,388,389,390,391,392,393,394,395,396,397,47],"Azure Databricks","Azure Data Factory","Azure Data Lake","Unity Catalog","Cosmos DB","Scala","Delta Lake","Kafka","Event Hub","GraphQL","MongoDB","Qlik Replicate","Fivetran","DataStage","Informatica","Collibra",{"edw":27,"scd2":27,"mlops":127,"hiring":27,"english":27,"rfp\u002Frfi":27,"budgeting":127,"automation":27,"onboarding":27,"data uplift":27,"data lineage":27,"data privacy":27,"data quality":27,"data serving":27,"data sharing":27,"optimization":27,"pii handling":27,"data modeling":27,"data security":27,"documentation":27,"data ingestion":27,"feature stores":127,"api integration":127,"cost management":127,"data dictionary":27,"data extraction":27,"data governance":27,"data engineering":27,"data integration":27,"data remediation":27,"team development":27,"analytical skills":27,"data architecture":27,"data entitlements":27,"people leadership":27,"resource sourcing":127,"vendor management":27,"business reporting":27,"cde prioritization":27,"oral communication":27,"project management":27,"capability building":27,"data lake\u002Flakehouse":27,"incident management":27,"root cause analysis":27,"succession planning":27,"c-level presentation":27,"commercial judgement":27,"interpersonal skills":27,"model-ready datasets":127,"regulatory reporting":27,"technical leadership":27,"ai\u002Fml data enablement":127,"dimensional modelling":27,"enterprise data model":27,"regulatory compliance":27,"salesforce data cloud":127,"solution architecture":27,"stakeholder influence":27,"streaming integration":127,"written communication":27,"continuous improvement":27,"data access management":27,"decision-making skills":27,"master data management":27,"performance management":27,"problem-solving skills":27,"technical architecture":27,"executive communication":27,"data platform engineering":27,"legacy system remediation":27,"insurance domain knowledge":27,"business continuity planning":27},[400,56,57,401,402,403,404,102,106,405,406,407,408,409,257,410,411,192,412,413,414,415,416,417,418,419,420,333,332,63,421,422,423,296,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,70,442,222,443,69,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458,459],"Data Engineering","Dimensional Modelling","Enterprise Data Model","Master Data Management","SCD2","Data Lineage","Data Lake\u002FLakehouse","EDW","Regulatory Compliance","Insurance Domain Knowledge","RFP\u002FRFI","Budgeting","Business Continuity Planning","Incident Management","Root Cause Analysis","Performance Management","Succession Planning","Hiring","Onboarding","Technical Architecture","Solution Architecture","Data Serving","Data Uplift","Legacy System Remediation","PII Handling","Data Privacy","Data Sharing","Data Access Management","Data Entitlements","Data Dictionary","CDE Prioritization","Data Extraction","Data Remediation","Regulatory Reporting","Business Reporting","AI\u002FML Data Enablement","MLOps","Feature Stores","Model-Ready Datasets","Salesforce Data Cloud","API Integration","Streaming Integration","Resource Sourcing","Continuous Improvement","Optimization","Technical Leadership","People Leadership","Team Development","Capability Building","Executive Communication","C-Level Presentation","Stakeholder Influence","Analytical Skills","Problem-Solving Skills","Decision-Making Skills","Commercial Judgement","Interpersonal Skills","Written Communication","Oral Communication","English",{"id":461,"slug":462,"title":463,"raw_title":11,"is_featured":12,"company":464,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":467,"processed_country_iso_code_gmaps":469,"processed_home_office":122,"processed_salary_min":236,"processed_salary_max":470,"processed_salary_currency":237,"processed_salary_source":22,"processed_working_hours":471,"processed_employment_types":25,"processed_it_skills":472,"processed_it_skills_labels":473,"processed_job_expertise_skills":487,"processed_job_expertise_skills_labels":488,"max_cpc":110,"actual_cpc":110},59431,"senior-full-stack-finops-engineer-lseg-business-services-rm-srl","Senior Full Stack FinOps Engineer",{"name":465,"slug":466,"logo_url":11},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[468],"București",[234],130000,[24],{"cdk":127,"sql":27,"dask":127,"flask":127,"react":27,"spark":27,"django":127,"docker":27,"pulumi":127,"python":27,"fastapi":27,"next.js":27,"pyspark":27,"synapse":127,"bigquery":27,"redshift":27,"snowflake":27,"terraform":27,"kubernetes":27,"typescript":27,"opentelemetry":127},[38,135,474,475,476,477,478,34,276,479,37,284,480,241,481,482,29,483,484,485,486],"React","Next.js","FastAPI","Flask","Django","Dask","Kubernetes","CDK","Pulumi","BigQuery","Redshift","Synapse","OpenTelemetry",{"aws":27,"gcp":27,"slos":27,"azure":27,"finops":27,"data lineage":27,"data quality":27,"data modeling":27,"microservices":27,"observability":27,"data ingestion":27,"serverless etl":127,"cost optimization":27,"data normalization":27,"architecture design":27,"security governance":127,"analytics engineering":27,"event-driven patterns":127,"cloud billing constructs":27,"multi-cloud cost management":27},[489,490,63,491,333,492,493,494,495,496,106,405,497,66,498,499,500,501,502,503],"FinOps","Multi-cloud Cost Management","Data Normalization","Analytics Engineering","Architecture Design","Microservices","Event-driven Patterns","Serverless ETL","SLOs","Security Governance","Cost Optimization","Cloud Billing Constructs","AWS","Azure","GCP",{"id":505,"slug":506,"title":507,"raw_title":11,"is_featured":12,"company":508,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":511,"processed_country_iso_code_gmaps":513,"processed_home_office":18,"processed_salary_min":514,"processed_salary_max":515,"processed_salary_currency":21,"processed_salary_source":22,"processed_working_hours":516,"processed_employment_types":25,"processed_it_skills":517,"processed_it_skills_labels":518,"processed_job_expertise_skills":521,"processed_job_expertise_skills_labels":522,"max_cpc":110,"actual_cpc":530},58477,"python-engineer-manager-actuarial-merastar-insurance-company","Python Engineer Manager (Actuarial)",{"name":509,"slug":510,"logo_url":11},"Merastar Insurance Company","merastar-insurance-company",[512],"Alpharetta",[121],99000,164800,[24],{"aws":127,"sas":321,"azure":127,"python":27,"tableau":127,"power bi":127,"google cloud":127,"amazon sagemaker":321},[38,326,501,502,519,35,182,520],"Google Cloud","Amazon SageMaker",{"data analysis":27,"data ingestion":127,"cloud computing":127,"data governance":127,"data engineering":27,"pricing strategy":27,"actuarial science":27,"data manipulation":127,"data visualization":127,"project management":127,"regulatory compliance":127,"test-driven development":321},[400,523,524,102,525,526,527,528,63,529,408,192],"Data Analysis","Actuarial Science","Data Visualization","Cloud Computing","Test-driven Development","Data Manipulation","Pricing Strategy",0.5,{"industry":532,"employment_type":552,"expertise_skills":555,"it_skills":608,"salary_currency":671,"processed_working_hours":678},[533,537,540,543,546,549],{"key":534,"label":535,"count":536},"financial services","Financial Services",6,{"key":538,"label":539,"count":27},"insurance","Insurance",{"key":541,"label":542,"count":321},"banking","Banking",{"key":544,"label":545,"count":110},"financial markets infrastructure","Financial Markets Infrastructure",{"key":547,"label":548,"count":110},"data","Data",{"key":550,"label":551,"count":110},"asset management","Asset Management",[553],{"key":25,"label":554,"count":5},"PERMANENT",[556,558,560,563,565,568,570,572,574,576,578,580,582,584,586,588,590,592,594,596,598,600,602,605],{"key":557,"label":63,"slug":557,"count":5},"data-ingestion",{"key":559,"label":102,"slug":559,"count":536},"data-governance",{"key":561,"label":106,"slug":561,"count":562},"data-quality",5,{"key":564,"label":333,"slug":564,"count":27},"data-modeling",{"key":566,"label":567,"slug":566,"count":127},"project-management","Project management",{"key":569,"label":60,"slug":569,"count":127},"data-warehousing",{"key":571,"label":301,"slug":571,"count":127},"data-transformation",{"key":573,"label":57,"slug":573,"count":127},"data-architecture",{"key":575,"label":56,"slug":575,"count":321},"data-platform-engineering",{"key":577,"label":408,"slug":577,"count":321},"regulatory-compliance",{"key":579,"label":257,"slug":579,"count":321},"vendor-management",{"key":581,"label":70,"slug":581,"count":321},"cost-management",{"key":583,"label":414,"slug":583,"count":321},"root-cause-analysis",{"key":585,"label":66,"slug":585,"count":321},"observability",{"key":587,"label":332,"slug":587,"count":321},"data-integration",{"key":589,"label":69,"slug":589,"count":321},"automation",{"key":591,"label":296,"slug":591,"count":321},"data-security",{"key":593,"label":222,"slug":593,"count":321},"documentation",{"key":595,"label":405,"slug":595,"count":321},"data-lineage",{"key":597,"label":59,"slug":597,"count":321},"business-intelligence",{"key":599,"label":400,"slug":599,"count":321},"data-engineering",{"key":601,"label":493,"slug":601,"count":110},"architecture-design",{"key":603,"label":604,"slug":603,"count":110},"api-integration","Api Integration",{"key":606,"label":607,"slug":606,"count":110},"ai-technologies","Ai Technologies",[609,612,615,618,620,623,626,628,631,634,636,638,640,643,645,647,649,651,654,657,660,663,665,668],{"key":610,"label":38,"slug":610,"count":611},"python",10,{"key":613,"label":37,"slug":613,"count":614},"sql",7,{"key":616,"label":617,"slug":616,"count":27},"ms-powerbi","MS PowerBI",{"key":619,"label":34,"slug":619,"count":27},"spark",{"key":621,"label":622,"slug":621,"count":127},"cicd","Ci\u002FCd",{"key":624,"label":625,"slug":624,"count":321},"typescript","Typescript",{"key":627,"label":241,"slug":627,"count":321},"terraform",{"key":629,"label":630,"slug":629,"count":321},"sas","Sas",{"key":632,"label":633,"slug":632,"count":321},"pyspark","Pyspark",{"key":635,"label":284,"slug":635,"count":321},"docker",{"key":637,"label":129,"slug":637,"count":321},"pandas",{"key":639,"label":35,"slug":639,"count":321},"tableau",{"key":641,"label":642,"slug":641,"count":321},"numpy","Numpy",{"key":644,"label":29,"slug":644,"count":321},"snowflake",{"key":646,"label":136,"slug":646,"count":321},"git",{"key":648,"label":384,"slug":648,"count":110},"azure-data-lake",{"key":650,"label":383,"slug":650,"count":110},"azure-data-factory",{"key":652,"label":653,"slug":652,"count":110},"aws-emr","Aws Emr",{"key":655,"label":656,"slug":655,"count":110},"ms-azure","MS Azure",{"key":658,"label":659,"slug":658,"count":110},"aws-sagemaker","Aws Sagemaker",{"key":661,"label":662,"slug":661,"count":110},"aws-athena","Aws Athena",{"key":664,"label":277,"slug":664,"count":110},"apache-spark",{"key":666,"label":667,"slug":666,"count":110},"cdk","Cdk",{"key":669,"label":670,"slug":669,"count":110},"github-actions","Github Actions",[672,673,674,675,676,677],{"key":21,"label":21,"count":27},{"key":237,"label":237,"count":127},{"key":208,"label":208,"count":110},{"key":378,"label":378,"count":110},{"key":351,"label":351,"count":110},{"key":175,"label":175,"count":110},[679],{"key":24,"label":24,"count":5},{"total":110,"jobs":681},[682],{"id":683,"slug":684,"title":685,"raw_title":11,"is_featured":686,"company":687,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":691,"processed_country_iso_code_gmaps":693,"processed_home_office":695,"processed_salary_min":696,"processed_salary_max":697,"processed_salary_currency":237,"processed_salary_source":11,"processed_working_hours":698,"processed_employment_types":554,"processed_it_skills":700,"processed_it_skills_labels":11,"processed_job_expertise_skills":701,"processed_job_expertise_skills_labels":702,"max_cpc":708,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":688,"slug":689,"logo_url":690},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[692],"Frankfurt am Main",[694],"DE","HYBRID",45000,65000,[699],"full_time",{},{"Financial Analysis":127,"Regulatory Compliance":127,"New Customer Acquisition":127,"Private Banking Advisory":127,"Banking Products Knowledge":127,"Customer Relationship Management":127},[703,704,705,408,706,707],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]