[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-delta-lake-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fdelta-lake":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fdelta-lake":694,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fdelta-lake":866},{},{"total":5,"jobs":6},33,[7,70,105,136,174,214,249,284,317,339,360,396,426,448,479,507,538,575,612,637],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":17,"processed_country_iso_code_gmaps":19,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":26,"processed_employment_types":28,"processed_it_skills":29,"processed_it_skills_labels":33,"processed_job_expertise_skills":51,"processed_job_expertise_skills_labels":52,"max_cpc":69,"actual_cpc":69},81891,"international-data-engineering-analytics-allianz-insurance","International Data Engineering & Analytics",null,false,{"name":14,"slug":15,"logo_url":16},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[18],"BARCELONA",[20],"ES","hybrid",80000,120000,"EUR","estimated",[27],"FULL_TIME","permanent",{"dax":30,"sql":31,"ai\u002Fml":32,"python":32,"sap bw":31,"sap erp":31,"power bi":30,"azure sql":31,"databricks":31,"delta lake":31,"power apps":31,"power query":30,"sap s\u002F4hana":31,"power automate":31,"azure data factory":31,"sap analytics cloud":31,"azure data lake storage gen2":31},4,3,2,[34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50],"Power BI","DAX","Power Query","Power Automate","Power Apps","Azure Data Lake Storage Gen2","Delta Lake","Azure Data Factory","Databricks","Azure SQL","SAP BW","SAP ERP","SAP S\u002F4HANA","SAP Analytics Cloud","AI\u002FML","Python","SQL",{"fp&a":30,"planning":31,"controlling":31,"forecasting":31,"consolidation":31,"general ledger":31,"data governance":30,"gdpr compliance":31,"anomaly detection":31,"budget management":31,"finance reporting":30,"project management":30,"eu ai act compliance":31,"predictive analytics":31,"regulatory reporting":31,"finance transformation":30},[53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68],"Finance Transformation","Finance Reporting","FP&A","Data Governance","GDPR Compliance","EU AI Act Compliance","Project Management","Budget Management","General Ledger","Consolidation","Controlling","Planning","Regulatory Reporting","Predictive Analytics","Anomaly Detection","Forecasting",1,{"id":71,"slug":72,"title":73,"raw_title":11,"is_featured":12,"company":74,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":77,"processed_country_iso_code_gmaps":79,"processed_home_office":21,"processed_salary_min":23,"processed_salary_max":81,"processed_salary_currency":82,"processed_salary_source":25,"processed_working_hours":83,"processed_employment_types":28,"processed_it_skills":84,"processed_it_skills_labels":85,"processed_job_expertise_skills":95,"processed_job_expertise_skills_labels":96,"max_cpc":69,"actual_cpc":69},82577,"sr-consultant-full-stack-developer-canadian-imperial-bank-of-commerce-canada","Sr. Consultant, Full Stack Developer",{"name":75,"slug":76,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[78],"Toronto",[80],"CA",160000,"CAD",[27],{"ci\u002Fcd":30,"python":30,"pyspark":30,"azure sql":30,"spark sql":30,"databricks":30,"delta lake":30,"azure synapse":30,"unity catalog":30,"cloud security":30,"api integration":30,"azure functions":30,"azure data factory":30,".net full stack development":30},[86,42,87,40,88,89,41,49,43,90,91,92,93,94],"Azure Synapse","Unity Catalog","PySpark","Spark SQL","Azure Functions","API Integration","CI\u002FCD","Cloud Security",".NET Full Stack Development",{"data governance":30,"investment data":31,"solution design":30,"data architecture":30,"global asset management":31,"technical documentation":30,"enterprise data engineering":30,"enterprise governance frameworks":31,"business requirements translation":30},[97,98,56,99,100,101,102,103,104],"Enterprise Data Engineering","Data Architecture","Solution Design","Technical Documentation","Business Requirements Translation","Global Asset Management","Investment Data","Enterprise Governance Frameworks",{"id":106,"slug":107,"title":108,"raw_title":11,"is_featured":12,"company":109,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":110,"processed_country_iso_code_gmaps":112,"processed_home_office":21,"processed_salary_min":22,"processed_salary_max":23,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":114,"processed_employment_types":28,"processed_it_skills":115,"processed_it_skills_labels":116,"processed_job_expertise_skills":124,"processed_job_expertise_skills_labels":125,"max_cpc":69,"actual_cpc":69},81730,"data-engineer3333-allianz-insurance","Data Engineer_3333",{"name":14,"slug":15,"logo_url":16},[111],"Pune",[113],"IN",[27],{"git":31,"sql":30,"ci\u002Fcd":31,"spark":30,"devops":31,"mlflow":31,"python":30,"pyspark":30,"spark sql":30,"databricks":30,"delta lake":30,"unity catalog":30,"databricks workflows":30,"azure synapse analytics":30,"databricks asset bundles":30},[42,117,40,118,119,88,89,87,120,121,50,49,122,92,123],"Spark","MLflow","Azure Synapse Analytics","Databricks Workflows","Databricks Asset Bundles","Git","DevOps",{"mentoring":31,"data lineage":31,"data modeling":30,"data security":31,"etl migration":30,"data governance":31,"team leadership":31,"data engineering":30,"data architecture":30,"root cause analysis":31,"cloud data solutions":30,"performance optimization":30},[126,98,127,128,129,130,56,131,132,133,134,135],"Data Engineering","Data Modeling","Cloud Data Solutions","ETL Migration","Performance Optimization","Data Lineage","Data Security","Root Cause Analysis","Team Leadership","Mentoring",{"id":137,"slug":138,"title":139,"raw_title":11,"is_featured":12,"company":140,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":141,"processed_country_iso_code_gmaps":143,"processed_home_office":21,"processed_salary_min":145,"processed_salary_max":146,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":148,"processed_employment_types":28,"processed_it_skills":149,"processed_it_skills_labels":150,"processed_job_expertise_skills":161,"processed_job_expertise_skills_labels":162,"max_cpc":69,"actual_cpc":69},81799,"ai-engineer-senior-hybrid-allianz-insurance","AI Engineer Senior | Hybrid",{"name":14,"slug":15,"logo_url":16},[142],"Minneapolis",[144],"US",110001,164000,"USD",[27],{"git":31,"rag":30,"azure":31,"ci\u002Fcd":31,"docker":32,"github":31,"mlflow":31,"python":30,"databricks":30,"delta lake":31,"kubernetes":32,"claude code":32,"restful apis":31,"github actions":31,"agent frameworks":30,"llm orchestration":30},[49,42,151,122,152,118,153,154,155,92,156,40,157,158,159,160],"Azure","GitHub","RESTful APIs","Kubernetes","Docker","GitHub Actions","LLM orchestration","RAG","Agent frameworks","Claude Code",{"agentic ai":30,"generative ai":30,"data pipelines":31,"cloud computing":31,"machine learning":30,"model monitoring":31,"big data platforms":31,"project leadership":31,"statistical concepts":31,"systems architecture":31,"model productionization":30},[163,164,165,166,167,168,169,170,171,172,173],"Generative AI","Agentic AI","Machine Learning","Cloud Computing","Big Data Platforms","Data Pipelines","Model Productionization","Model Monitoring","Statistical Concepts","Systems Architecture","Project Leadership",{"id":175,"slug":176,"title":177,"raw_title":11,"is_featured":12,"company":178,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":179,"processed_country_iso_code_gmaps":180,"processed_home_office":21,"processed_salary_min":181,"processed_salary_max":182,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":183,"processed_employment_types":28,"processed_it_skills":184,"processed_it_skills_labels":185,"processed_job_expertise_skills":200,"processed_job_expertise_skills_labels":201,"max_cpc":69,"actual_cpc":69},81595,"forward-deployed-engineer-allianz-insurance","Forward Deployed Engineer",{"name":14,"slug":15,"logo_url":16},[18],[20],70000,100000,[27],{"dbt":31,"elt":30,"etl":30,"sql":30,"bicep":31,"ci\u002Fcd":30,"kafka":31,"spark":31,"docker":31,"mlflow":31,"python":30,"airflow":31,"datadog":31,"snowflake":31,"terraform":31,"databricks":30,"delta lake":30,"kubernetes":31,"prometheus":31,"azure monitor":31,"unity catalogue":30,"azure ai foundry":31,"microsoft fabric":30,"azure data factory":30,"azure synapse analytics":30},[42,40,186,119,187,49,50,188,189,41,190,92,191,192,193,118,154,155,117,194,195,196,197,198,199],"Unity Catalogue","Microsoft Fabric","ETL","ELT","Airflow","Terraform","Bicep","Azure AI Foundry","dbt","Kafka","Snowflake","Azure Monitor","Datadog","Prometheus",{"mlops":31,"encryption":30,"data lineage":30,"data security":30,"observability":30,"access controls":30,"data governance":30,"data integration":30,"high availability":30,"platform security":30,"infrastructure as code":30,"data product management":31,"data platform engineering":30,"cloud-native architectures":31,"model lifecycle governance":31},[202,203,56,132,204,205,206,131,207,208,209,210,211,212,213],"Data Platform Engineering","Data Integration","Data Product Management","Infrastructure as Code","Platform Security","Access Controls","Encryption","Observability","High Availability","MLOps","Model Lifecycle Governance","Cloud-Native Architectures",{"id":215,"slug":216,"title":217,"raw_title":11,"is_featured":12,"company":218,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":221,"processed_country_iso_code_gmaps":222,"processed_home_office":223,"processed_salary_min":224,"processed_salary_max":225,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":226,"processed_employment_types":28,"processed_it_skills":227,"processed_it_skills_labels":228,"processed_job_expertise_skills":234,"processed_job_expertise_skills_labels":235,"max_cpc":69,"actual_cpc":69},86714,"director-i-catastrophe-modeling-ryan-specialty-llc","Director I, Catastrophe Modeling",{"name":219,"slug":220,"logo_url":11},"Ryan Specialty, LLC","ryan-specialty-llc",[],[],"onsite",116000,145000,[27],{"r":31,"git":32,"sql":30,"vba":31,"excel":31,"python":30,"alteryx":31,"pyspark":31,"delta lake":31,"azure databricks":31},[50,49,229,230,231,232,88,40,122,233],"R","VBA","Alteryx","Azure Databricks","Excel",{"rms":30,"analyze re":31,"etl pipelines":30,"air touchstone":30,"sdlc practices":32,"data engineering":30,"vendor management":30,"catastrophe modeling":30,"reinsurance structures":31,"research & development":31,"geospatial data handling":31,"portfolio risk analytics":30,"exposure data preparation":30,"portfolio risk metrics (pml, aal, tvar)":30},[236,237,126,238,239,240,241,242,243,244,245,246,247,248],"Catastrophe Modeling","Portfolio Risk Analytics","RMS","AIR Touchstone","Analyze Re","Reinsurance Structures","Portfolio Risk Metrics (PML, AAL, TVaR)","ETL Pipelines","Exposure Data Preparation","Geospatial Data Handling","Vendor Management","Research & Development","SDLC Practices",{"id":250,"slug":251,"title":252,"raw_title":11,"is_featured":12,"company":253,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":254,"processed_country_iso_code_gmaps":256,"processed_home_office":21,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":259,"processed_employment_types":28,"processed_it_skills":260,"processed_it_skills_labels":261,"processed_job_expertise_skills":273,"processed_job_expertise_skills_labels":274,"max_cpc":69,"actual_cpc":69},81747,"senior-databricks-ai-architectd3006-allianz-insurance","Senior Databricks & AI Architect_D3006",{"name":14,"slug":15,"logo_url":16},[255],"Sindewahi",[113],90000,130000,[27],{"rag":31,"ai\u002Fml":30,"scala":31,"etl\u002Felt":30,"pyspark":30,"langchain":31,"agentic ai":30,"databricks":30,"delta lake":30,"llamaindex":31,"z-ordering":31,"apache spark":30,"photon engine":31,"unity catalog":31,"data modelling":30,"databricks sql":30,"liquid clustering":31,"llm orchestration":31},[42,262,88,263,40,264,265,266,158,87,267,268,48,164,269,270,271,272],"Apache Spark","Scala","Databricks SQL","LangChain","LlamaIndex","ETL\u002FELT","Data Modelling","LLM Orchestration","Photon Engine","Z-Ordering","Liquid Clustering",{"finops":30,"star schema":31,"data security":31,"data vault 2.0":31,"cost management":30,"data governance":31,"cluster policies":31,"data engineering":30,"snowflake schema":31,"data architecture":30,"performance tuning":30,"medallion architecture":30,"insurance domain knowledge":31},[98,275,126,276,56,132,277,278,279,280,281,282,283],"FinOps","Insurance Domain Knowledge","Performance Tuning","Cost Management","Cluster Policies","Medallion Architecture","Star Schema","Snowflake Schema","Data Vault 2.0",{"id":285,"slug":286,"title":287,"raw_title":11,"is_featured":12,"company":288,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":292,"processed_country_iso_code_gmaps":294,"processed_home_office":21,"processed_salary_min":295,"processed_salary_max":257,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":296,"processed_employment_types":28,"processed_it_skills":297,"processed_it_skills_labels":298,"processed_job_expertise_skills":308,"processed_job_expertise_skills_labels":309,"max_cpc":69,"actual_cpc":69},87003,"senior-data-engineer-ods-banco-santander-sa","Senior Data Engineer - ODS",{"name":289,"slug":290,"logo_url":291},"Banco Santander S.A.","banco-santander-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[293],"Madrid",[20],60000,[27],{"aws":30,"git":30,"sql":30,"jira":31,"ci\u002Fcd":31,"nexus":31,"scala":30,"sonar":31,"splunk":31,"airflow":32,"jenkins":31,"delta lake":32,"apache flink":32,"apache spark":30,"apache iceberg":32,"spark streaming":32},[262,263,50,299,122,92,300,301,302,303,304,305,306,307,40,190],"AWS","Jenkins","Sonar","Nexus","Jira","Splunk","Apache Flink","Spark Streaming","Apache Iceberg",{"banking":31,"etl\u002Felt":30,"fintech":31,"data quality":30,"data monitoring":30,"data validation":30,"data engineering":30,"big data engineering":30,"regulated environments":31,"performance optimization":30},[126,310,267,311,312,313,130,314,315,316],"Big Data Engineering","Data Quality","Data Validation","Data Monitoring","Banking","Fintech","Regulated Environments",{"id":318,"slug":319,"title":320,"raw_title":11,"is_featured":12,"company":321,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":322,"processed_country_iso_code_gmaps":324,"processed_home_office":21,"processed_salary_min":325,"processed_salary_max":22,"processed_salary_currency":326,"processed_salary_source":25,"processed_working_hours":327,"processed_employment_types":28,"processed_it_skills":328,"processed_it_skills_labels":329,"processed_job_expertise_skills":333,"processed_job_expertise_skills_labels":334,"max_cpc":69,"actual_cpc":69},81733,"consultant-business-analytics-allianz-insurance-2","Consultant-Business Analytics",{"name":14,"slug":15,"logo_url":16},[323],"PUNE",[113],50000,"GBP",[27],{"sql":30,"ci\u002Fcd":31,"mlops":32,"spark":30,"github":31,"python":30,"etl\u002Felt":30,"pyspark":30,"databricks":30,"delta lake":30,"azure synapse":30,"unity catalog":30,"data lakehouse":31,"data modelling":31,"machine learning":32,"feature engineering":32,"distributed data processing":31},[86,42,117,88,40,87,50,49,267,152,92,268,330,331,211,332,165],"Data Lakehouse","Distributed Data Processing","Feature Engineering",{"mlops":32,"data security":31,"data pipelines":30,"data governance":31,"data engineering":30,"feature engineering":32,"analytics engineering":30,"data privacy compliance":31,"insurance market knowledge":32,"model lifecycle management":32},[126,335,168,56,132,336,337,211,332,338],"Analytics Engineering","Data Privacy Compliance","Insurance Market Knowledge","Model Lifecycle Management",{"id":340,"slug":341,"title":342,"raw_title":11,"is_featured":12,"company":343,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":344,"processed_country_iso_code_gmaps":346,"processed_home_office":21,"processed_salary_min":347,"processed_salary_max":348,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":349,"processed_employment_types":28,"processed_it_skills":350,"processed_it_skills_labels":351,"processed_job_expertise_skills":353,"processed_job_expertise_skills_labels":354,"max_cpc":69,"actual_cpc":69},86717,"senior-director-catastrophe-risk-ryan-specialty-llc","Senior Director Catastrophe Risk",{"name":219,"slug":220,"logo_url":11},[345],"Chicago",[144],140000,175000,[27],{"r":30,"git":31,"sql":30,"vba":30,"python":30,"alteryx":30,"pyspark":30,"geopandas":31,"delta lake":30,"azure databricks":30},[50,49,229,230,231,232,88,40,122,352],"geopandas",{"rms":30,"analyze re":31,"etl pipelines":30,"air touchstone":30,"data engineering":30,"portfolio rollups":30,"vendor management":30,"catastrophe modeling":30,"underwriting strategy":30,"reinsurance structures":30,"portfolio risk analytics":30,"research and development":30,"exposure data preparation":30,"catastrophe event response":30,"alternative risk transfer (art) pricing":30},[236,237,355,241,238,239,240,126,243,244,246,356,357,358,359],"Alternative Risk Transfer (ART) Pricing","Research and Development","Underwriting Strategy","Portfolio Rollups","Catastrophe Event Response",{"id":361,"slug":362,"title":363,"raw_title":11,"is_featured":12,"company":364,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":367,"processed_country_iso_code_gmaps":369,"processed_home_office":21,"processed_salary_min":23,"processed_salary_max":370,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":371,"processed_employment_types":28,"processed_it_skills":372,"processed_it_skills_labels":373,"processed_job_expertise_skills":379,"processed_job_expertise_skills_labels":380,"max_cpc":69,"actual_cpc":69},69144,"senior-data-solutions-engineer-finance-technology-ares-operations-india-private-limited","Senior Data Solutions Engineer, Finance Technology",{"name":365,"slug":366,"logo_url":11},"Ares Operations India Private Limited","ares-operations-india-private-limited",[368],"Mumbai",[113],180000,[27],{"git":31,"apis":31,"json":31,"ci\u002Fcd":31,"spark":31,"python":30,"etl\u002Felt":30,"pyspark":30,"databricks":30,"delta lake":31,"sql server":30,"azure devops":31,"data modeling":30,"microsoft fabric":31,"azure data factory":31,"azure data lake storage":31},[374,42,49,88,375,122,41,376,377,187,378,92,267,127,117,40],"SQL Server","APIs","Azure Data Lake Storage","Azure DevOps","JSON",{"accounting":31,"auditability":31,"data lineage":31,"data quality":30,"reconciliation":30,"data governance":31,"fund accounting":30,"asset management":31,"data engineering":30,"data integration":30,"automated testing":31,"stored procedures":30,"financial services":30,"performance tuning":30,"metadata management":31,"deployment pipelines":31,"financial technology":30,"secure file transfer":31,"business intelligence":31,"investment operations":31,"master data management":31,"data product management":31},[381,126,382,311,383,56,204,384,385,386,387,388,203,131,389,390,391,277,392,393,394,395],"Fund Accounting","Financial Technology","Reconciliation","Business Intelligence","Financial Services","Asset Management","Investment Operations","Accounting","Metadata Management","Master Data Management","Auditability","Stored Procedures","Automated Testing","Deployment Pipelines","Secure File Transfer",{"id":397,"slug":398,"title":399,"raw_title":11,"is_featured":12,"company":400,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":401,"processed_country_iso_code_gmaps":402,"processed_home_office":21,"processed_salary_min":403,"processed_salary_max":404,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":405,"processed_employment_types":28,"processed_it_skills":406,"processed_it_skills_labels":407,"processed_job_expertise_skills":417,"processed_job_expertise_skills_labels":418,"max_cpc":69,"actual_cpc":69},70878,"data-engineer-principal3003-allianz-insurance","Data Engineer Principal_3003",{"name":14,"slug":15,"logo_url":16},[142],[144],110000,150000,[27],{"arm":31,"sql":30,"kafka":32,"docker":31,"python":30,"kinesis":32,"pyspark":30,"tableau":32,"power bi":31,"dynatrace":32,"event hub":32,"spark sql":30,"terraform":31,"delta lake":30,"apache spark":30,"azure devops":31,"azure purview":32,"unity catalog":31,"github actions":31,"azure databricks":30,"delta live tables":31,"oracle goldengate":31,"azure analysis services":31,"azure synapse analytics":30,"azure data lake storage gen2":30},[119,39,40,408,409,34,262,88,89,49,50,232,410,87,377,156,191,411,155,412,413,195,414,415,416],"Oracle GoldenGate","Azure Analysis Services","Delta Live Tables","ARM","Azure Purview","Event Hub","Kinesis","Dynatrace","Tableau",{"ci\u002Fcd":31,"etl\u002Felt":30,"data modeling":30,"reconciliation":30,"data governance":30,"audit frameworks":30,"containerization":31,"data engineering":30,"automated testing":31,"data architecture":30,"change data capture":30,"infrastructure as code":31,"lakehouse architecture":30,"medallion architecture":30,"data platform migration":30,"data quality management":30,"slowly changing dimensions":30},[126,419,98,127,267,56,420,421,422,280,423,92,205,393,424,383,425],"Data Platform Migration","Change Data Capture","Slowly Changing Dimensions","Data Quality Management","Lakehouse Architecture","Containerization","Audit Frameworks",{"id":427,"slug":428,"title":429,"raw_title":11,"is_featured":12,"company":430,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":431,"processed_country_iso_code_gmaps":432,"processed_home_office":223,"processed_salary_min":257,"processed_salary_max":258,"processed_salary_currency":24,"processed_salary_source":25,"processed_working_hours":433,"processed_employment_types":28,"processed_it_skills":434,"processed_it_skills_labels":435,"processed_job_expertise_skills":436,"processed_job_expertise_skills_labels":437,"max_cpc":69,"actual_cpc":69},71240,"architect-data-engineer-allianz-insurance","Architect-Data Engineer",{"name":14,"slug":15,"logo_url":16},[323],[113],[27],{"sql":30,"kafka":32,"docker":31,"python":30,"kinesis":32,"power bi":31,"dynatrace":32,"event hub":32,"terraform":30,"delta lake":30,"kubernetes":31,"apache spark":30,"azure devops":30,"azure purview":30,"unity catalog":30,"github actions":30,"azure databricks":30,"oracle goldengate":31,"azure analysis services":30,"azure synapse analytics":30,"azure data lake storage gen2":30},[49,50,119,39,40,409,408,34,232,262,191,377,156,155,154,87,412,413,195,414,415],{"ci\u002Fcd":30,"mlops":32,"devops":30,"etl\u002Felt":30,"code reviews":30,"data lineage":30,"data quality":30,"data modelling":30,"data governance":30,"containerization":31,"data engineering":30,"testing frameworks":30,"change data capture":30,"architecture reviews":30,"migration strategies":30,"infrastructure as code":30,"operational excellence":30,"performance optimization":30,"data platform architecture":30,"slowly changing dimensions":30,"agentic integration patterns":31,"audit and control frameworks":30,"monitoring and observability":32,"real-time and streaming architectures":32},[438,126,268,56,311,131,420,421,439,267,440,130,205,92,123,424,441,442,443,444,445,211,446,447],"Data Platform Architecture","Audit and Control Frameworks","Migration Strategies","Operational Excellence","Testing Frameworks","Architecture Reviews","Code Reviews","Agentic Integration Patterns","Monitoring and Observability","Real-time and Streaming Architectures",{"id":449,"slug":450,"title":451,"raw_title":11,"is_featured":12,"company":452,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":455,"processed_country_iso_code_gmaps":457,"processed_home_office":21,"processed_salary_min":458,"processed_salary_max":459,"processed_salary_currency":460,"processed_salary_source":25,"processed_working_hours":461,"processed_employment_types":28,"processed_it_skills":462,"processed_it_skills_labels":463,"processed_job_expertise_skills":471,"processed_job_expertise_skills_labels":472,"max_cpc":69,"actual_cpc":69},75087,"data-engineerpythonawssql-lseg","Data Engineer(Python\u002FAWS\u002FSQL)",{"name":453,"slug":454,"logo_url":11},"LSEG","lseg",[456],"Bengaluru",[113],2000000,3500000,"INR",[27],{"go":32,"aws":31,"c++":32,"git":31,"sql":30,"java":32,"rust":32,"ci\u002Fcd":31,"deequ":32,"scala":32,"python":30,"aws cdk":32,"pyspark":32,"snowflake":32,"terraform":32,"databricks":32,"delta lake":32,"apache spark":32,"apache iceberg":32,"great expectations":32},[49,299,50,122,92,262,88,263,464,465,466,467,191,468,469,470,307,40,42,196],"Java","C++","Go","Rust","AWS CDK","Great Expectations","Deequ",{"etl":31,"data modeling":30,"batch processing":31,"schema evolution":31,"agile methodologies":31,"investment analytics":32,"software engineering":30,"financial indices domain":32},[473,127,188,474,475,476,477,478],"Software Engineering","Batch Processing","Schema Evolution","Agile Methodologies","Financial Indices Domain","Investment Analytics",{"id":480,"slug":481,"title":482,"raw_title":11,"is_featured":12,"company":483,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":486,"processed_country_iso_code_gmaps":487,"processed_home_office":21,"processed_salary_min":458,"processed_salary_max":459,"processed_salary_currency":460,"processed_salary_source":25,"processed_working_hours":488,"processed_employment_types":28,"processed_it_skills":489,"processed_it_skills_labels":490,"processed_job_expertise_skills":495,"processed_job_expertise_skills_labels":496,"max_cpc":69,"actual_cpc":69},75107,"senior-data-platform-administrator-refinitiv-india-shared-services-private-limited","Senior Data Platform Administrator",{"name":484,"slug":485,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[456],[113],[27],{"sql":31,"azure":30,"ci\u002Fcd":31,"gitlab":31,"python":31,"power bi":32,"dataverse":32,"terraform":30,"databricks":30,"delta lake":31,"apache spark":30,"unity catalog":31,"github actions":31,"azure data lake":31,"shell scripting":31},[42,151,262,49,50,491,191,92,156,492,34,493,494,87,40],"Shell scripting","GitLab","Dataverse","Azure Data Lake",{"observability":31,"capacity planning":31,"cost optimization":31,"disaster recovery":31,"high availability":31,"incident management":31,"root cause analysis":31,"distributed computing":30,"lakehouse architecture":31,"cloud platform management":30,"compliance and governance":31,"big data platform administration":30,"site reliability engineering (sre)":31,"security controls (rbac, audit logging)":31},[497,498,499,423,500,501,502,209,503,210,504,505,506,133],"Big Data Platform Administration","Cloud Platform Management","Distributed Computing","Security Controls (RBAC, Audit Logging)","Compliance and Governance","Site Reliability Engineering (SRE)","Disaster Recovery","Capacity Planning","Cost Optimization","Incident Management",{"id":508,"slug":509,"title":510,"raw_title":11,"is_featured":12,"company":511,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":514,"processed_country_iso_code_gmaps":516,"processed_home_office":21,"processed_salary_min":518,"processed_salary_max":519,"processed_salary_currency":520,"processed_salary_source":25,"processed_working_hours":521,"processed_employment_types":28,"processed_it_skills":522,"processed_it_skills_labels":523,"processed_job_expertise_skills":531,"processed_job_expertise_skills_labels":532,"max_cpc":69,"actual_cpc":69},69609,"ai-engineer-openpay-sapi-de-cv","AI Engineer",{"name":512,"slug":513,"logo_url":11},"OPENPAY, S.A.P.I. DE C.V.","openpay-sapi-de-cv",[515],"Ciudad de México",[517],"MX",600000,900000,"MXN",[27],{"aws":30,"git":30,"rag":30,"llms":30,"ci\u002Fcd":30,"mlops":30,"docker":30,"finops":30,"llmops":30,"python":30,"fastapi":30,"agentops":30,"graphrag":30,"langgraph":30,"rest apis":30,"databricks":30,"delta lake":30,"machine learning":30},[49,524,525,155,122,299,42,40,165,526,158,527,528,92,211,529,530,275],"FastAPI","REST APIs","LLMs","GraphRAG","LangGraph","LLMOps","AgentOps",{"ai governance":30,"ai engineering":30,"data platforms":30,"responsible ai":30,"cloud platforms":30,"cost optimization":30,"software engineering":30},[533,473,534,535,536,537,505],"AI Engineering","Cloud Platforms","Data Platforms","AI Governance","Responsible AI",{"id":539,"slug":540,"title":541,"raw_title":11,"is_featured":12,"company":542,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":545,"processed_country_iso_code_gmaps":547,"processed_home_office":223,"processed_salary_min":23,"processed_salary_max":370,"processed_salary_currency":549,"processed_salary_source":25,"processed_working_hours":550,"processed_employment_types":28,"processed_it_skills":551,"processed_it_skills_labels":552,"processed_job_expertise_skills":565,"processed_job_expertise_skills_labels":566,"max_cpc":69,"actual_cpc":69},68049,"vp-system-analyst-data-group-technology-amp-ops-1011-united-overseas-bank-ltd","VP, System Analyst (Data), Group Technology & Ops",{"name":543,"slug":544,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[546],"Singapore",[548],"SG","SGD",[27],{"sql":30,"hive":31,"numpy":30,"spark":30,"pandas":30,"python":30,"power bi":31,"qliksense":31,"snowflake":30,"databricks":30,"delta lake":30,"apache hudi":31,"azure fabric":30,"trino\u002Fpresto":31,"apache iceberg":30,"google bigquery":30,"informatica bdm":31,"informatica idq":31,"informatica powercenter":31,"informatica enterprise data catalogue":31},[50,49,42,196,553,554,307,40,555,117,556,557,34,558,559,560,561,562,563,564],"Azure Fabric","Google BigQuery","Apache Hudi","Trino\u002FPresto","Hive","QlikSense","Informatica PowerCenter","Informatica BDM","Informatica IDQ","Informatica Enterprise Data Catalogue","Pandas","NumPy",{"nlp":30,"data lineage":30,"data quality":30,"data modeling":30,"data governance":30,"knowledge graph":31,"solution design":30,"data integration":30,"machine learning":30,"model governance":30,"cost optimization":31,"data architecture":30,"campaign analytics":31,"performance tuning":31,"project management":30,"credit risk analytics":30,"regulatory compliance":30,"requirements analysis":30,"rule-based decisioning":30},[98,56,165,567,568,569,570,59,571,99,311,131,572,573,574,203,127,505,277],"NLP","Credit Risk Analytics","Campaign Analytics","Regulatory Compliance","Requirements Analysis","Model Governance","Knowledge Graph","Rule-Based Decisioning",{"id":576,"slug":577,"title":578,"raw_title":11,"is_featured":12,"company":579,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":582,"processed_country_iso_code_gmaps":583,"processed_home_office":223,"processed_salary_min":584,"processed_salary_max":585,"processed_salary_currency":82,"processed_salary_source":25,"processed_working_hours":586,"processed_employment_types":28,"processed_it_skills":587,"processed_it_skills_labels":588,"processed_job_expertise_skills":601,"processed_job_expertise_skills_labels":602,"max_cpc":69,"actual_cpc":69},66823,"senior-aidata-developer-td-securities-the-toronto-dominion-bank-canada","Senior AI\u002FData Developer, TD Securities",{"name":580,"slug":581,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[78],[80],125000,156000,[27],{"ci\u002Fcd":30,"spark":31,"python":30,"testing":30,"snowflake":31,"databricks":30,"delta lake":31,"api development":30,"semantic search":30,"vector databases":30,"prompt engineering":30,"agentic ai frameworks":30,"full-stack development":30,"cloud-native technologies":30,"knowledge retrieval systems":30,"llm evaluation and monitoring":30,"retrieval-augmented generation (rag)":30,"large language models (openai, azure openai, anthropic, gemini)":30},[49,589,590,591,592,593,594,595,596,597,598,42,196,40,117,92,599,600],"Full-stack development","Large Language Models (OpenAI, Azure OpenAI, Anthropic, Gemini)","Agentic AI frameworks","Retrieval-Augmented Generation (RAG)","Prompt engineering","Semantic search","Vector databases","Knowledge retrieval systems","LLM evaluation and monitoring","API development","Testing","Cloud-native technologies",{"automation":30,"scalability":30,"data engineering":30,"workflow optimization":30,"data pipeline development":30,"investment research workflows":31,"enterprise security and governance":30,"software engineering best practices":30,"structured and unstructured data processing":30},[603,604,605,606,607,608,609,610,611],"Software engineering best practices","Data engineering","Data pipeline development","Structured and unstructured data processing","Investment Research workflows","Automation","Workflow optimization","Enterprise security and governance","Scalability",{"id":613,"slug":614,"title":615,"raw_title":11,"is_featured":12,"company":616,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":619,"processed_country_iso_code_gmaps":620,"processed_home_office":21,"processed_salary_min":23,"processed_salary_max":81,"processed_salary_currency":147,"processed_salary_source":25,"processed_working_hours":621,"processed_employment_types":28,"processed_it_skills":622,"processed_it_skills_labels":623,"processed_job_expertise_skills":629,"processed_job_expertise_skills_labels":630,"max_cpc":69,"actual_cpc":69},55125,"databricks-data-engineer-risk-technology-cibc-bank-usa","Databricks Data Engineer, Risk Technology",{"name":617,"slug":618,"logo_url":11},"CIBC Bank USA","cibc-bank-usa",[345],[144],[27],{"c#":32,"sql":30,".net":32,"python":30,"etl\u002Felt":30,"pyspark":30,"spark sql":30,"databricks":30,"delta lake":30,"postgresql":31,"servicenow":32,"apache spark":30,"azure devops":31,"microsoft azure":30,"azure databricks":30},[49,50,42,262,88,89,40,624,232,267,625,626,627,377,628],"Microsoft Azure","C#",".NET","PostgreSQL","ServiceNow",{"devsecops":31,"documentation":31,"risk management":31,"data engineering":30,"credit risk models":32,"banking fundamentals":31,"software engineering":30,"regulatory compliance":31,"capital stress testing":32},[473,126,631,632,570,633,634,635,636],"Risk Management","Banking Fundamentals","Capital Stress Testing","Credit Risk Models","DevSecOps","Documentation",{"id":638,"slug":639,"title":640,"raw_title":11,"is_featured":12,"company":641,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":644,"processed_country_iso_code_gmaps":645,"processed_home_office":21,"processed_salary_min":646,"processed_salary_max":23,"processed_salary_currency":82,"processed_salary_source":25,"processed_working_hours":647,"processed_employment_types":28,"processed_it_skills":648,"processed_it_skills_labels":649,"processed_job_expertise_skills":662,"processed_job_expertise_skills_labels":663,"max_cpc":69,"actual_cpc":693},80074,"product-engineering-fabric-data-engineering-allstate-insurance-company-of-canada-permanent","Product Engineering (Fabric Data Engineering)",{"name":642,"slug":643,"logo_url":11},"Allstate Insurance Company of Canada - Permanent","allstate-insurance-company-of-canada-permanent",[],[80],80900,[27],{"dax":30,"git":30,"sql":30,"rest":31,"ci\u002Fcd":30,"spark":30,"python":30,"onelake":30,"pyspark":30,"power bi":30,"dataflows":30,"lakehouse":30,"notebooks":30,"warehouse":30,"delta lake":30,"direct lake":30,"azure devops":30,"azure monitor":30,"log analytics":30,"data pipelines":30,"github copilot":31,"microsoft fabric":30,"microsoft purview":30,"copilot in power bi":31,"fabric api for graphql":31},[187,650,651,652,653,168,654,655,50,88,49,117,40,377,92,122,34,35,656,197,657,658,659,660,661],"OneLake","Lakehouse","Warehouse","Notebooks","Dataflows","Direct Lake","Microsoft Purview","Log Analytics","Fabric API for GraphQL","REST","GitHub Copilot","Copilot in Power BI",{"claims":30,"vacuum":30,"billing":30,"v-order":30,"z-order":30,"optimize":30,"actuarial":30,"loss ratio":30,"code review":30,"data lineage":30,"data quality":30,"star schemas":30,"underwriting":30,"data security":30,"dlp alignment":30,"observability":30,"combined ratio":30,"api integration":31,"data governance":30,"incident triage":30,"change data feed":30,"data engineering":30,"capacity planning":30,"liquid clustering":30,"semantic modeling":30,"release governance":30,"row-level security":30,"data transformation":30,"kimball methodology":30,"dimensional modeling":30,"regulatory reporting":30,"column-level security":30,"object-level security":30,"partitioning strategy":30,"spark workload tuning":30,"incremental load patterns":30,"insurance domain knowledge":30,"auto and property insurance":30,"slowly changing dimensions type 2":30,"delta table performance optimization":30},[126,56,132,311,664,665,666,667,668,669,670,671,672,673,674,272,675,676,677,678,679,680,681,682,131,65,276,683,684,685,686,687,688,689,91,504,690,691,209,692],"Data Transformation","Semantic Modeling","Dimensional Modeling","Kimball Methodology","Star Schemas","Slowly Changing Dimensions Type 2","Incremental Load Patterns","Delta Table Performance Optimization","OPTIMIZE","Z-Order","V-Order","VACUUM","Change Data Feed","Partitioning Strategy","Spark Workload Tuning","Row-Level Security","Column-Level Security","Object-Level Security","DLP Alignment","Auto and Property Insurance","Claims","Billing","Actuarial","Underwriting","Loss Ratio","Combined Ratio","Code Review","Release Governance","Incident Triage",0.5,{"industry":695,"employment_type":721,"expertise_skills":728,"it_skills":787,"salary_currency":850,"processed_working_hours":864},[696,700,703,707,709,713,715,718],{"key":697,"label":698,"count":699},"insurance","Insurance",17,{"key":701,"label":385,"count":702},"financial services",9,{"key":704,"label":705,"count":706},"financial markets infrastructure","Financial Markets Infrastructure",6,{"key":708,"label":314,"count":706},"banking",{"key":710,"label":711,"count":712},"data","Data",5,{"key":714,"label":386,"count":31},"asset management",{"key":716,"label":717,"count":69},"wealth management","Wealth Management",{"key":719,"label":720,"count":69},"data provider","Data Provider",[722,725],{"key":28,"label":723,"count":724},"PERMANENT",32,{"key":726,"label":727,"count":69},"contract","CONTRACT",[729,732,734,737,739,741,743,746,748,751,754,756,758,760,762,765,767,770,773,776,779,781,783,785],{"key":730,"label":56,"slug":730,"count":731},"data-governance",19,{"key":733,"label":126,"slug":733,"count":699},"data-engineering",{"key":735,"label":127,"slug":735,"count":736},"data-modeling",10,{"key":738,"label":131,"slug":738,"count":736},"data-lineage",{"key":740,"label":98,"slug":740,"count":736},"data-architecture",{"key":742,"label":311,"slug":742,"count":702},"data-quality",{"key":744,"label":132,"slug":744,"count":745},"data-security",7,{"key":747,"label":570,"slug":747,"count":706},"regulatory-compliance",{"key":749,"label":750,"slug":749,"count":706},"mlops","Mlops",{"key":752,"label":753,"slug":752,"count":712},"project-management","Project management",{"key":755,"label":209,"slug":755,"count":712},"observability",{"key":757,"label":203,"slug":757,"count":712},"data-integration",{"key":759,"label":65,"slug":759,"count":712},"regulatory-reporting",{"key":761,"label":246,"slug":761,"count":712},"vendor-management",{"key":763,"label":764,"slug":763,"count":30},"etlelt","Etl\u002FElt",{"key":766,"label":505,"slug":766,"count":30},"cost-optimization",{"key":768,"label":769,"slug":768,"count":30},"infrastructure-as-code","Infrastructure As Code",{"key":771,"label":772,"slug":771,"count":30},"enterprise-architecture","Enterprise Architecture",{"key":774,"label":775,"slug":774,"count":31},"api-integration","Api Integration",{"key":777,"label":778,"slug":777,"count":31},"generative-ai","Generative Ai",{"key":780,"label":474,"slug":780,"count":31},"batch-processing",{"key":782,"label":390,"slug":782,"count":31},"master-data-management",{"key":784,"label":385,"slug":784,"count":31},"financial-services",{"key":786,"label":130,"slug":786,"count":31},"performance-optimization",[788,790,793,796,799,803,807,810,813,815,817,819,821,824,826,829,832,835,838,840,842,843,846,848],{"key":789,"label":40,"slug":789,"count":5},"delta-lake",{"key":791,"label":49,"slug":791,"count":792},"python",29,{"key":794,"label":42,"slug":794,"count":795},"databricks",25,{"key":797,"label":50,"slug":797,"count":798},"sql",24,{"key":800,"label":801,"slug":800,"count":802},"cicd","Ci\u002FCd",22,{"key":804,"label":805,"slug":804,"count":806},"pyspark","Pyspark",14,{"key":808,"label":262,"slug":808,"count":809},"apache-spark",12,{"key":811,"label":87,"slug":811,"count":812},"unity-catalog",11,{"key":814,"label":122,"slug":814,"count":812},"git",{"key":816,"label":195,"slug":816,"count":736},"kafka",{"key":818,"label":191,"slug":818,"count":702},"terraform",{"key":820,"label":117,"slug":820,"count":702},"spark",{"key":822,"label":823,"slug":822,"count":702},"ms-azure","MS Azure",{"key":825,"label":263,"slug":825,"count":745},"scala",{"key":827,"label":828,"slug":827,"count":745},"ms-powerbi","MS PowerBI",{"key":830,"label":831,"slug":830,"count":745},"aws","Aws",{"key":833,"label":834,"slug":833,"count":745},"mlflow","Mlflow",{"key":836,"label":837,"slug":836,"count":745},"github-actions","Github Actions",{"key":839,"label":155,"slug":839,"count":745},"docker",{"key":841,"label":232,"slug":841,"count":706},"azure-databricks",{"key":763,"label":764,"slug":763,"count":706},{"key":844,"label":845,"slug":844,"count":706},"azure-devops","Azure Devops",{"key":847,"label":196,"slug":847,"count":706},"snowflake",{"key":849,"label":154,"slug":849,"count":706},"kubernetes",[851,852,853,854,855,856,857,859,860,862],{"key":147,"label":147,"count":812},{"key":24,"label":24,"count":702},{"key":82,"label":82,"count":712},{"key":460,"label":460,"count":32},{"key":520,"label":520,"count":69},{"key":326,"label":326,"count":69},{"key":858,"label":858,"count":69},"PLN",{"key":549,"label":549,"count":69},{"key":861,"label":861,"count":69},"CHF",{"key":863,"label":863,"count":69},"MYR",[865],{"key":27,"label":27,"count":5},{"total":69,"jobs":867},[868],{"id":869,"slug":870,"title":871,"raw_title":11,"is_featured":872,"company":873,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":877,"processed_country_iso_code_gmaps":879,"processed_home_office":881,"processed_salary_min":882,"processed_salary_max":883,"processed_salary_currency":24,"processed_salary_source":11,"processed_working_hours":884,"processed_employment_types":723,"processed_it_skills":886,"processed_it_skills_labels":11,"processed_job_expertise_skills":887,"processed_job_expertise_skills_labels":888,"max_cpc":894,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":874,"slug":875,"logo_url":876},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[878],"Frankfurt am Main",[880],"DE","HYBRID",45000,65000,[885],"full_time",{},{"Financial Analysis":31,"Regulatory Compliance":31,"New Customer Acquisition":31,"Private Banking Advisory":31,"Banking Products Knowledge":31,"Customer Relationship Management":31},[889,890,891,570,892,893],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]