[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-pyspark-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fpyspark?page=3":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fpyspark?page=3":740,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fpyspark?page=3":939},{},{"total":5,"jobs":6},90,[7,71,129,166,198,230,267,301,332,377,408,454,483,510,539,572,600,632,674,710],{"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":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":11,"processed_it_skills":26,"processed_it_skills_labels":29,"processed_job_expertise_skills":44,"processed_job_expertise_skills_labels":45,"max_cpc":70,"actual_cpc":70},97220,"principal-architect-ai-sedgwick-claims-management-services-inc","Principal Architect - AI",null,false,{"name":14,"slug":15,"logo_url":11},"Sedgwick Claims Management Services Inc.","sedgwick-claims-management-services-inc",[],[18],"US","hybrid",180000,250000,"USD","estimated",[25],"FULL_TIME",{"aws":27,"sql":27,"azure":27,"crewai":27,"python":27,"pyspark":27,"pinecone":27,"langgraph":27,"snowflake":28,"databricks":28,"opensearch":27,"palantir aip":28,"azure ai search":27,"palantir foundry":28},4,3,[30,31,32,33,34,35,36,37,38,39,40,41,42,43],"Python","SQL","PySpark","AWS","Azure","LangGraph","CrewAI","Pinecone","OpenSearch","Azure AI Search","Palantir Foundry","Palantir AIP","Databricks","Snowflake",{"agentic ai":27,"compliance":27,"ai strategy":27,"ai governance":27,"generative ai":27,"llm platforms":27,"vector stores":27,"responsible ai":27,"risk management":27,"vendor strategy":28,"model governance":27,"data architecture":27,"portfolio management":27,"platform architecture":27,"solution architecture":27,"knowledge architecture":27,"enterprise architecture":27,"multi-agent orchestration":27,"transformation leadership":27,"ai\u002Fml lifecycle management":27,"business value orientation":27,"cloud platforms (aws\u002Fazure)":27,"advanced analytics platforms":28,"retrieval-augmented generation (rag)":27},[46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69],"Enterprise Architecture","AI Governance","Generative AI","Agentic AI","Retrieval-Augmented Generation (RAG)","Platform Architecture","Solution Architecture","AI Strategy","Risk Management","Compliance","Responsible AI","Data Architecture","Knowledge Architecture","Model Governance","AI\u002FML Lifecycle Management","Transformation Leadership","Business Value Orientation","Vendor Strategy","Portfolio Management","Multi-Agent Orchestration","Vector Stores","LLM Platforms","Cloud Platforms (AWS\u002FAzure)","Advanced Analytics Platforms",1,{"id":72,"slug":73,"title":74,"raw_title":11,"is_featured":12,"company":75,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":79,"processed_country_iso_code_gmaps":81,"processed_home_office":19,"processed_salary_min":83,"processed_salary_max":84,"processed_salary_currency":85,"processed_salary_source":23,"processed_working_hours":86,"processed_employment_types":87,"processed_it_skills":88,"processed_it_skills_labels":89,"processed_job_expertise_skills":109,"processed_job_expertise_skills_labels":110,"max_cpc":70,"actual_cpc":70},91181,"specialist-application-designer-mfd-allianz-insurance","Specialist - Application Designer (m\u002Ff\u002Fd)",{"name":76,"slug":77,"logo_url":78},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[80],"Quatre Bornes",[82],"MU",50000,70000,"EUR",[25],"permanent",{"dbt":28,"git":28,"hpc":28,"sql":27,"jira":28,"unix":28,"vtom":28,"azure":28,"spark":27,"citrix":28,"github":28,"python":27,"vmware":28,"pyspark":27,"sas sql":27,"windows":28,"sas base":27,"confluence":28,"databricks":28,"sas macros":27,"servicenow":28,"gitlab ci\u002Fcd":28,"github actions":28,"sas enterprise guide":27},[90,91,92,93,30,32,94,31,95,96,97,34,42,98,99,100,101,102,103,104,105,106,107,108],"SAS Base","SAS Macros","SAS SQL","SAS Enterprise Guide","Spark","dbt","Git","GitHub","GitHub Actions","GitLab CI\u002FCD","Windows","Unix","Citrix","VMware","HPC","VTOM","Jira","Confluence","ServiceNow",{"safe":27,"scrum":27,"compliance":27,"prototyping":27,"solvency ii":28,"configuration":27,"data modeling":27,"documentation":27,"test strategy":27,"process design":27,"risk agility fm":28,"agile methodology":27,"business analysis":27,"change management":27,"application design":27,"incident management":27,"requirements gathering":27,"functional specifications":27,"willis towers watson tools":28},[111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,55],"Application Design","Business Analysis","Functional Specifications","Test Strategy","Agile Methodology","SAFe","Scrum","Incident Management","Solvency II","Risk Agility FM","Willis Towers Watson Tools","Data Modeling","Process Design","Requirements Gathering","Documentation","Change Management","Prototyping","Configuration",{"id":130,"slug":131,"title":132,"raw_title":11,"is_featured":12,"company":133,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":136,"processed_country_iso_code_gmaps":138,"processed_home_office":19,"processed_salary_min":140,"processed_salary_max":141,"processed_salary_currency":142,"processed_salary_source":23,"processed_working_hours":143,"processed_employment_types":87,"processed_it_skills":144,"processed_it_skills_labels":145,"processed_job_expertise_skills":155,"processed_job_expertise_skills_labels":156,"max_cpc":70,"actual_cpc":70},93396,"lead-data-engineer-howden-group-services-limited","Lead Data Engineer",{"name":134,"slug":135,"logo_url":11},"Howden Group Services Limited","howden-group-services-limited",[137],"London",[139],"GB",80000,120000,"GBP",[25],{"dbt":27,"sql":27,"bicep":28,"ci\u002Fcd":27,"python":27,"airflow":27,"pyspark":27,"terraform":28,"databricks":27,"arm templates":28,"azure functions":27,"azure data factory":27,"azure data lake storage":27},[42,146,147,148,32,31,149,150,151,152,153,154,30],"Azure Data Factory","Azure Functions","Azure Data Lake Storage","Airflow","DBT","CI\u002FCD","Terraform","Bicep","ARM templates",{"data security":27,"etl processes":27,"data governance":27,"devops for data":27,"data engineering":27,"data architecture":27,"metadata management":27,"data pipeline design":27,"infrastructure as code":28,"software engineering best practices":27},[157,158,159,160,161,162,57,163,164,165],"Data Engineering","Metadata Management","Data Pipeline Design","ETL Processes","Data Governance","Data Security","DevOps for Data","Infrastructure as Code","Software Engineering Best Practices",{"id":167,"slug":168,"title":169,"raw_title":11,"is_featured":12,"company":170,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":173,"processed_country_iso_code_gmaps":175,"processed_home_office":177,"processed_salary_min":178,"processed_salary_max":179,"processed_salary_currency":180,"processed_salary_source":23,"processed_working_hours":181,"processed_employment_types":87,"processed_it_skills":182,"processed_it_skills_labels":184,"processed_job_expertise_skills":189,"processed_job_expertise_skills_labels":190,"max_cpc":70,"actual_cpc":70},95109,"senior-manager-data-scientist-mg-global-services","Senior Manager - Data Scientist",{"name":171,"slug":172,"logo_url":11},"M&G Global Services","mg-global-services",[174],"Mumbai",[176],"IN","onsite",2000000,3500000,"INR",[25],{"sql":27,"excel":27,"spark":183,"python":28,"pyspark":183,"power bi":28,"spark sql":183,"azure databricks":183},2,[31,30,185,186,187,94,188,32],"Excel","Power BI","Azure Databricks","Spark SQL",{"documentation":28,"audit evidence":28,"data modelling":27,"data pipelines":27,"data governance":28,"data management":27,"data validation":27,"data transformation":27,"financial services experience":28},[191,192,193,161,194,195,125,196,197],"Data Pipelines","Data Transformation","Data Validation","Data Modelling","Data Management","Audit Evidence","Financial Services Experience",{"id":199,"slug":200,"title":201,"raw_title":11,"is_featured":12,"company":202,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":205,"processed_country_iso_code_gmaps":207,"processed_home_office":177,"processed_salary_min":209,"processed_salary_max":210,"processed_salary_currency":211,"processed_salary_source":23,"processed_working_hours":212,"processed_employment_types":87,"processed_it_skills":213,"processed_it_skills_labels":214,"processed_job_expertise_skills":218,"processed_job_expertise_skills_labels":219,"max_cpc":70,"actual_cpc":70},98817,"applied-machine-learning-scientist-ii-the-toronto-dominion-bank-canada-2","Applied Machine Learning Scientist II",{"name":203,"slug":204,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[206],"Toronto",[208],"CA",125500,154000,"CAD",[25],{"sql":27,"mlops":28,"python":27,"pyspark":27,"pytorch":27,"cloud platforms":28},[30,32,215,31,216,217],"PyTorch","Cloud Platforms","MLOps",{"deep learning":27,"generative ai":28,"graph analytics":28,"risk management":28,"causal inference":28,"machine learning":27,"model deployment":27,"feature engineering":27,"marketing analytics":27,"large language models":28,"recommendation systems":28,"statistical methodologies":27},[220,221,222,223,224,225,54,226,48,227,228,229],"Machine Learning","Deep Learning","Large Language Models","Feature Engineering","Statistical Methodologies","Marketing Analytics","Model Deployment","Recommendation Systems","Graph Analytics","Causal Inference",{"id":231,"slug":232,"title":233,"raw_title":11,"is_featured":12,"company":234,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":237,"processed_country_iso_code_gmaps":239,"processed_home_office":19,"processed_salary_min":84,"processed_salary_max":241,"processed_salary_currency":85,"processed_salary_source":23,"processed_working_hours":242,"processed_employment_types":87,"processed_it_skills":244,"processed_it_skills_labels":245,"processed_job_expertise_skills":254,"processed_job_expertise_skills_labels":255,"max_cpc":70,"actual_cpc":70},92177,"modelling-quantitative-research-development-senior-specialist-group-strategic-analytics-fmx-frankfurtberlin-0010-deutsche-bank-aktiengesellschaft","Modelling Quantitative Research & Development Senior Specialist - Group Strategic Analytics (f\u002Fm\u002Fx) Frankfurt\u002FBerlin",{"name":235,"slug":236,"logo_url":11},"0010 Deutsche Bank Aktiengesellschaft","0010-deutsche-bank-aktiengesellschaft",[238],"Berlin",[240],"DE",95000,[25,243],"PART_TIME",{"sql":27,"numpy":27,"pandas":27,"python":27,"pyspark":27,"collibra":183,"scikit-learn":27,"deep learning":27,"machine learning":27,"data visualization":28,"big data (hadoop, gpu)":28,"reinforcement learning":27,"cloud computing (gcp, aws)":28},[30,31,246,247,248,32,220,221,249,250,251,252,253],"numpy","pandas","scikit-learn","Reinforcement Learning","Cloud Computing (GCP, AWS)","Big Data (Hadoop, GPU)","Data Visualization","Collibra",{"sdlc":28,"statistics":27,"data lineage":28,"data quality":28,"optimization":27,"linear algebra":27,"data governance":28,"model deployment":27,"model development":27,"probability theory":27,"performance monitoring":28,"transaction monitoring":27,"financial crime compliance":28},[256,257,226,161,258,259,260,261,262,263,264,265,266],"Transaction Monitoring","Model Development","Probability Theory","Statistics","Linear Algebra","Optimization","SDLC","Data Lineage","Data Quality","Performance Monitoring","Financial Crime Compliance",{"id":268,"slug":269,"title":270,"raw_title":11,"is_featured":12,"company":271,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":274,"processed_country_iso_code_gmaps":276,"processed_home_office":177,"processed_salary_min":277,"processed_salary_max":278,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":279,"processed_employment_types":87,"processed_it_skills":280,"processed_it_skills_labels":281,"processed_job_expertise_skills":291,"processed_job_expertise_skills_labels":292,"max_cpc":70,"actual_cpc":70},99620,"sr-data-engineer-umb-bank-na","Sr. Data Engineer",{"name":272,"slug":273,"logo_url":11},"UMB BANK NA","umb-bank-na",[275],"Kansas City",[18],117900,173393,[25],{"aws":27,"etl":27,"sql":27,"azure":28,"python":27,"pyspark":27,"matillion":28,"snowflake":27,"aws lambda":28,"postgresql":27,"informatica":28,"apache kafka":27,"amazon eventbridge":28,"business intelligence":28,"data pipeline development":27},[43,33,282,283,32,284,285,286,287,34,31,30,288,289,290],"Apache Kafka","PostgreSQL","AWS Lambda","Amazon EventBridge","Matillion","Informatica","ETL","Data Pipeline Development","Business Intelligence",{"data modeling":28,"data governance":28,"troubleshooting":28,"data integration":27,"database replication":28,"data warehouse design":27,"cloud data architecture":27,"performance optimization":28,"data lifecycle management":28,"real-time data processing":27},[293,294,161,295,296,297,298,122,299,300],"Data Warehouse Design","Cloud Data Architecture","Data Lifecycle Management","Real-time Data Processing","Database Replication","Data Integration","Performance Optimization","Troubleshooting",{"id":302,"slug":303,"title":304,"raw_title":11,"is_featured":12,"company":305,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":308,"processed_country_iso_code_gmaps":309,"processed_home_office":19,"processed_salary_min":310,"processed_salary_max":311,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":312,"processed_employment_types":87,"processed_it_skills":313,"processed_it_skills_labels":314,"processed_job_expertise_skills":317,"processed_job_expertise_skills_labels":318,"max_cpc":70,"actual_cpc":70},96408,"director-data-engineering-analytics-relation-insurance-inc-corporate","Director, Data Engineering & Analytics",{"name":306,"slug":307,"logo_url":11},"Relation Insurance, Inc. - Corporate","relation-insurance-inc-corporate",[],[],178000,294000,[25],{"sql":27,"github":28,"python":27,"pyspark":27,"llm apis":27,"power bi":27,"github actions":28,"ai coding agents":27},[31,30,32,186,97,98,315,316],"LLM APIs","AI coding agents",{"elt":27,"ci\u002Fcd":28,"automation":27,"dashboarding":27,"ai governance":27,"data modeling":27,"data security":27,"orchestration":27,"data analytics":27,"kpi definition":27,"data governance":27,"team leadership":27,"data engineering":27,"data architecture":27,"entity resolution":28,"people development":27,"project management":27,"master data management":28,"stakeholder management":27,"data quality management":27},[157,57,122,319,320,321,161,162,322,323,324,151,47,325,326,327,328,329,330,331],"Master Data Management","Entity Resolution","Data Quality Management","Data Analytics","ELT","Orchestration","Automation","KPI Definition","Dashboarding","Team Leadership","People Development","Project Management","Stakeholder Management",{"id":333,"slug":334,"title":335,"raw_title":11,"is_featured":12,"company":336,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":339,"processed_country_iso_code_gmaps":341,"processed_home_office":19,"processed_salary_min":342,"processed_salary_max":343,"processed_salary_currency":180,"processed_salary_source":23,"processed_working_hours":344,"processed_employment_types":87,"processed_it_skills":345,"processed_it_skills_labels":346,"processed_job_expertise_skills":364,"processed_job_expertise_skills_labels":365,"max_cpc":70,"actual_cpc":70},92353,"senior-engineer-avp-f337-deutsche-india-private-limited-pune-branch-2","Senior Engineer, AVP",{"name":337,"slug":338,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[340],"Pune",[176],2500000,4000000,[25],{"gcp":27,"jira":28,"gemini":28,"hadoop":28,"hp alm":28,"python":27,"pyspark":27,"bigquery":28,"dataflow":28,"dataproc":28,"langchain":28,"terraform":28,"vertex ai":27,"llamaindex":28,"servicenow":28,"document ai":28,"apache spark":27,"agent builder":28,"apache airflow":28,"github copilot":28,"vector databases":183,"vertex ai pipelines":28},[30,32,347,348,349,350,351,352,353,354,355,356,357,358,359,152,360,361,362,106,108,363],"Apache Spark","Hadoop","GCP","Vertex AI","BigQuery","Dataproc","Dataflow","Agent Builder","Document AI","Gemini","Github Copilot","LangChain","LlamaIndex","Apache Airflow","Vertex AI Pipelines","HP ALM","Vector Databases",{"ci\u002Fcd":28,"mlops":28,"dataops":28,"deep learning":28,"llm evaluation":28,"agile processes":27,"machine learning":27,"prompt engineering":28,"root cause analysis":28,"infrastructure as code":28,"workflow orchestration":28,"etl\u002Felt pipeline design":27,"query performance tuning":28,"ai ethics and data privacy":28,"financial services compliance":28,"software development lifecycle (sdlc)":27},[366,220,221,217,367,151,368,369,370,371,164,372,373,374,375,376],"ETL\u002FELT pipeline design","DataOps","Software Development Lifecycle (SDLC)","Agile processes","AI ethics and data privacy","Financial Services compliance","Workflow orchestration","Prompt engineering","LLM evaluation","Root cause analysis","Query performance tuning",{"id":378,"slug":379,"title":380,"raw_title":11,"is_featured":12,"company":381,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":384,"processed_country_iso_code_gmaps":386,"processed_home_office":177,"processed_salary_min":388,"processed_salary_max":389,"processed_salary_currency":390,"processed_salary_source":23,"processed_working_hours":391,"processed_employment_types":87,"processed_it_skills":392,"processed_it_skills_labels":393,"processed_job_expertise_skills":394,"processed_job_expertise_skills_labels":395,"max_cpc":70,"actual_cpc":70},96836,"analista-de-datos-de-riesgo-de-credito-banco-santander-mexico-sa-institucion-de-banca-multiple-grupo-financiero-santander-mexico","Analista de datos de riesgo de Crédito",{"name":382,"slug":383,"logo_url":11},"Banco Santander Mexico, S.A., Institución de Banca Múltiple, Grupo Financiero Santander Mexico","banco-santander-mexico-sa-institucion-de-banca-multiple-grupo-financiero-santander-mexico",[385],"Ciudad de México",[387],"MX",300000,500000,"MXN",[25],{"git":183,"sql":27,"excel":27,"spark":183,"python":28,"pyspark":183,"power bi":183,"snowflake":183},[31,30,185,43,32,94,186,96],{"pd":183,"ead":183,"lgd":183,"audit":28,"ifrs 9":183,"nif c-16":183,"credit risk":28,"basel framework":183,"model validation":183,"irb methodologies":183,"data quality control":27,"regulatory processes":28},[396,397,398,399,400,401,402,403,404,405,406,407],"Credit Risk","PD","LGD","EAD","Basel Framework","IRB Methodologies","IFRS 9","NIF C-16","Data Quality Control","Regulatory Processes","Audit","Model Validation",{"id":409,"slug":410,"title":411,"raw_title":11,"is_featured":12,"company":412,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":415,"processed_country_iso_code_gmaps":417,"processed_home_office":19,"processed_salary_min":418,"processed_salary_max":419,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":420,"processed_employment_types":87,"processed_it_skills":421,"processed_it_skills_labels":422,"processed_job_expertise_skills":437,"processed_job_expertise_skills_labels":438,"max_cpc":70,"actual_cpc":70},88170,"staff-data-engineer-hybrid-hartford-fire-ins-co","Staff Data Engineer - Hybrid",{"name":413,"slug":414,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[416],"Hartford",[18],125760,188640,[25],{"aws":27,"etl":27,"sql":27,"qlik":28,"azure":28,"ci\u002Fcd":28,"nosql":28,"spark":27,"aws s3":28,"github":28,"oracle":28,"python":27,"aws dms":28,"aws emr":28,"pyspark":27,"ai tools":183,"big data":27,"openflow":28,"shareplex":28,"snowflake":27,"aws lambda":28,"aws bedrock":183,"google vertex":183,"informatica cloud":28,"informatica powercenter":28},[31,423,288,151,424,33,34,30,94,43,425,426,427,97,428,429,430,431,32,432,433,284,434,435,436],"NoSQL","Big Data","Oracle","Informatica Cloud","Informatica PowerCenter","Qlik","Shareplex","OpenFlow","AWS DMS","AWS EMR","AWS S3","AI Tools","AWS Bedrock","Google Vertex",{"roadmaps":28,"data lake":28,"data mesh":28,"data fabric":28,"data mining":28,"data quality":27,"data cleansing":27,"data engineering":27,"data warehousing":27,"project strategy":28,"cloud architecture":27,"portfolio strategy":28,"distributed systems":27,"solution architecture":27,"big data methodologies":27,"data science algorithms":28,"data processing pipelines":27,"technical requirements documentation":27},[157,439,440,441,442,443,52,444,264,445,446,447,448,449,450,451,452,453],"Distributed Systems","Data Warehousing","Data Mesh","Data Lake","Data Fabric","Data Cleansing","Technical Requirements Documentation","Cloud Architecture","Big Data Methodologies","Data Processing Pipelines","Data Mining","Data Science Algorithms","Project Strategy","Portfolio Strategy","Roadmaps",{"id":455,"slug":456,"title":270,"raw_title":11,"is_featured":12,"company":457,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":460,"processed_country_iso_code_gmaps":462,"processed_home_office":19,"processed_salary_min":178,"processed_salary_max":179,"processed_salary_currency":180,"processed_salary_source":23,"processed_working_hours":463,"processed_employment_types":87,"processed_it_skills":464,"processed_it_skills_labels":465,"processed_job_expertise_skills":477,"processed_job_expertise_skills_labels":478,"max_cpc":70,"actual_cpc":70},94881,"sr-data-engineer-refinitiv-india-shared-services-private-limited",{"name":458,"slug":459,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[461],"Bengaluru",[176],[25],{"aws":27,"sql":27,"gitlab":183,"openai":28,"pandas":27,"python":27,"iceberg":28,"jenkins":183,"pyspark":27,"amazon q":28,"aws glue":27,"snowflake":27,"terraform":183,"aws bedrock":28,"github copilot":28,"snowflake cortex":28,"microsoft copilot":28,"sagemaker unified studio":27},[33,43,30,32,31,466,467,468,469,470,471,472,473,435,474,475,476,152],"Pandas","AWS Glue","SageMaker Unified Studio","Iceberg","GitHub Copilot","Microsoft Copilot","Amazon Q","Snowflake Cortex","OpenAI","GitLab","Jenkins",{"ci\u002Fcd":183,"etl\u002Felt":27,"agentic ai":27,"data lakes":27,"agile scrum":28,"data modeling":27,"generative ai":28,"data engineering":27,"data warehousing":27,"cloud architecture":27,"medallion architecture":27},[157,440,446,479,122,480,481,49,48,482,151],"ETL\u002FELT","Data Lakes","Medallion Architecture","Agile Scrum",{"id":484,"slug":485,"title":486,"raw_title":11,"is_featured":12,"company":487,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":488,"processed_country_iso_code_gmaps":490,"processed_home_office":19,"processed_salary_min":491,"processed_salary_max":491,"processed_salary_currency":142,"processed_salary_source":23,"processed_working_hours":492,"processed_employment_types":87,"processed_it_skills":493,"processed_it_skills_labels":494,"processed_job_expertise_skills":498,"processed_job_expertise_skills_labels":499,"max_cpc":70,"actual_cpc":70},81960,"principal-pricing-optimisation-analyst-allianz-insurance-2","Principal Pricing Optimisation Analyst",{"name":76,"slug":77,"logo_url":78},[489],"Birmingham",[139],64000,[25],{"sql":27,"jira":183,"python":27,"pyspark":27,"ms office":28,"wtw radar":27,"databricks":27,"wtw emblem":27},[30,31,32,42,495,496,497,106],"WTW Emblem","WTW Radar","MS Office",{"gbms":27,"glms":27,"data analysis":27,"data pipeline":27,"responsible ai":183,"machine learning":27,"insurance pricing":27,"price optimization":27,"predictive modeling":27,"customer lifetime value":27,"agile project management":183,"uk regulatory environment":27},[500,501,502,503,504,505,506,220,507,508,509,56],"Insurance Pricing","Predictive Modeling","Price Optimization","Data Pipeline","Data Analysis","GLMs","GBMs","UK Regulatory Environment","Customer Lifetime Value","Agile Project Management",{"id":511,"slug":512,"title":513,"raw_title":11,"is_featured":12,"company":514,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":517,"processed_country_iso_code_gmaps":518,"processed_home_office":19,"processed_salary_min":141,"processed_salary_max":519,"processed_salary_currency":211,"processed_salary_source":23,"processed_working_hours":520,"processed_employment_types":87,"processed_it_skills":521,"processed_it_skills_labels":522,"processed_job_expertise_skills":530,"processed_job_expertise_skills_labels":531,"max_cpc":70,"actual_cpc":70},82577,"sr-consultant-full-stack-developer-canadian-imperial-bank-of-commerce-canada","Sr. Consultant, Full Stack Developer",{"name":515,"slug":516,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[206],[208],160000,[25],{"ci\u002Fcd":27,"python":27,"pyspark":27,"azure sql":27,"spark sql":27,"databricks":27,"delta lake":27,"azure synapse":27,"unity catalog":27,"cloud security":27,"api integration":27,"azure functions":27,"azure data factory":27,".net full stack development":27},[523,42,524,525,32,188,146,30,526,147,527,151,528,529],"Azure Synapse","Unity Catalog","Delta Lake","Azure SQL","API Integration","Cloud Security",".NET Full Stack Development",{"data governance":27,"investment data":28,"solution design":27,"data architecture":27,"global asset management":28,"technical documentation":27,"enterprise data engineering":27,"enterprise governance frameworks":28,"business requirements translation":27},[532,57,161,533,534,535,536,537,538],"Enterprise Data Engineering","Solution Design","Technical Documentation","Business Requirements Translation","Global Asset Management","Investment Data","Enterprise Governance Frameworks",{"id":540,"slug":541,"title":542,"raw_title":11,"is_featured":12,"company":543,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":547,"processed_country_iso_code_gmaps":549,"processed_home_office":19,"processed_salary_min":551,"processed_salary_max":552,"processed_salary_currency":553,"processed_salary_source":23,"processed_working_hours":554,"processed_employment_types":87,"processed_it_skills":555,"processed_it_skills_labels":556,"processed_job_expertise_skills":565,"processed_job_expertise_skills_labels":566,"max_cpc":70,"actual_cpc":70},87132,"data-scientist-customer-interactions-iii-banco-santander-brasil-sa","Data Scientist (Customer Interactions) III",{"name":544,"slug":545,"logo_url":546},"Banco Santander (Brasil) S.A.","banco-santander-brasil-sa","\u002Fimages\u002Flogos\u002Fsantander-logo-2018.svg",[548],"Vila Olímpia",[550],"BR",12000,18000,"BRL",[25],{"rag":27,"sql":27,"apis":28,"llms":27,"python":27,"pyspark":28,"ai agents":27,"databricks":28,"embeddings":27,"generative ai":27,"cloud computing":28,"semantic search":27,"tool\u002Ffunction calling":27},[30,31,42,32,557,558,48,559,560,561,562,563,564],"Cloud Computing","LLMs","RAG","Embeddings","Semantic Search","Tool\u002FFunction Calling","AI Agents","APIs",{"ai security":28,"ai governance":28,"ai monitoring":27,"responsible ai":28,"ai experimentation":27,"customer experience":28,"ai solution evaluation":27},[567,568,569,56,570,47,571],"AI Solution Evaluation","AI Monitoring","AI Experimentation","AI Security","Customer Experience",{"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":580,"processed_home_office":19,"processed_salary_min":581,"processed_salary_max":582,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":583,"processed_employment_types":87,"processed_it_skills":584,"processed_it_skills_labels":585,"processed_job_expertise_skills":595,"processed_job_expertise_skills_labels":596,"max_cpc":70,"actual_cpc":70},88425,"data-engineer-i-cloud-data-modernization-aws-databricks-dbt-sql-ai-travelers-indemnity-co","Data Engineer I - Cloud Data Modernization - AWS, Databricks, DBT, SQL, AI",{"name":577,"slug":578,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[416],[18],109300,180200,[25],{"aws":27,"dbt":27,"sql":27,"pyspark":28,"ai tools":28,"databricks":27,"data quality":28,"data security":28,"data pipelines":27,"cloud platforms":27,"data governance":28,"data transformation":27,"programming languages":28,"software engineering practices":28},[33,42,95,31,32,586,587,588,589,590,591,592,593,594],"AI tools","Cloud platforms","Programming languages","Data pipelines","Data transformation","Data governance","Data security","Data quality","Software engineering practices",{"testing":28,"data analysis":27,"data modeling":27,"data management":28,"system analysis":28,"data engineering":27,"machine learning":28,"business intelligence":28,"artificial intelligence":28},[157,122,504,195,597,598,290,599,220],"System Analysis","Testing","Artificial Intelligence",{"id":601,"slug":602,"title":603,"raw_title":11,"is_featured":12,"company":604,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":607,"processed_country_iso_code_gmaps":608,"processed_home_office":177,"processed_salary_min":609,"processed_salary_max":610,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":611,"processed_employment_types":87,"processed_it_skills":612,"processed_it_skills_labels":613,"processed_job_expertise_skills":617,"processed_job_expertise_skills_labels":618,"max_cpc":70,"actual_cpc":70},86714,"director-i-catastrophe-modeling-ryan-specialty-llc","Director I, Catastrophe Modeling",{"name":605,"slug":606,"logo_url":11},"Ryan Specialty, LLC","ryan-specialty-llc",[],[],116000,145000,[25],{"r":28,"git":183,"sql":27,"vba":28,"excel":28,"python":27,"alteryx":28,"pyspark":28,"delta lake":28,"azure databricks":28},[31,30,614,615,616,187,32,525,96,185],"R","VBA","Alteryx",{"rms":27,"analyze re":28,"etl pipelines":27,"air touchstone":27,"sdlc practices":183,"data engineering":27,"vendor management":27,"catastrophe modeling":27,"reinsurance structures":28,"research & development":28,"geospatial data handling":28,"portfolio risk analytics":27,"exposure data preparation":27,"portfolio risk metrics (pml, aal, tvar)":27},[619,620,157,621,622,623,624,625,626,627,628,629,630,631],"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":633,"slug":634,"title":635,"raw_title":11,"is_featured":12,"company":636,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":637,"processed_country_iso_code_gmaps":638,"processed_home_office":177,"processed_salary_min":639,"processed_salary_max":640,"processed_salary_currency":211,"processed_salary_source":23,"processed_working_hours":641,"processed_employment_types":87,"processed_it_skills":642,"processed_it_skills_labels":643,"processed_job_expertise_skills":653,"processed_job_expertise_skills_labels":654,"max_cpc":70,"actual_cpc":70},98894,"it-data-specialist-the-toronto-dominion-bank-canada","IT Data Specialist",{"name":203,"slug":204,"logo_url":11},[206],[208],114000,136800,[25],{"sql":27,"mysql":28,"redis":183,"oracle":27,"pandas":28,"pl\u002Fsql":27,"polars":28,"python":28,"mongodb":183,"pyspark":28,"postgresql":28,"sql server":28,"databricks sql":28,"azure synapse serverless sql":28,"azure data lake storage (adls)":28},[31,644,30,32,466,645,646,647,648,425,283,649,650,651,652],"PL\u002FSQL","Polars","Azure Synapse Serverless SQL","Databricks SQL","Azure Data Lake Storage (ADLS)","MySQL","SQL Server","MongoDB","Redis",{"etl controls":27,"data sourcing":27,"data analytics":27,"data profiling":27,"data wrangling":27,"data automation":27,"data governance":27,"data management":27,"database design":27,"data integration":27,"payments systems":27,"stored procedures":27,"query optimization":27,"data transformation":27,"root cause analysis":27,"data quality controls":27,"regulatory compliance":27,"source to target mapping":27,"data exception management":27,"functional specifications":27,"aml transaction monitoring":27,"financial markets knowledge":28,"data controls implementation":27,"data pipeline troubleshooting":27,"financial crime & risk management":27},[195,655,656,657,658,659,161,660,661,662,113,663,664,665,666,667,668,669,670,671,298,192,322,672,673],"Data Profiling","Data Quality Controls","ETL Controls","Root Cause Analysis","Source to Target Mapping","AML Transaction Monitoring","Payments Systems","Data Exception Management","Data Pipeline Troubleshooting","Database Design","Query Optimization","Stored Procedures","Data Automation","Data Wrangling","Financial Crime & Risk Management","Data Controls Implementation","Data Sourcing","Regulatory Compliance","Financial Markets Knowledge",{"id":675,"slug":676,"title":677,"raw_title":11,"is_featured":12,"company":678,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":681,"processed_country_iso_code_gmaps":683,"processed_home_office":19,"processed_salary_min":684,"processed_salary_max":685,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":686,"processed_employment_types":87,"processed_it_skills":687,"processed_it_skills_labels":688,"processed_job_expertise_skills":696,"processed_job_expertise_skills_labels":697,"max_cpc":70,"actual_cpc":70},95608,"data-integration-lead-vp-mufg-bank-ltd","Data Integration Lead, VP",{"name":679,"slug":680,"logo_url":11},"MUFG Bank, Ltd.","mufg-bank-ltd",[682],"Jersey City",[18],158000,205000,[25],{"git":28,"sql":27,"jira":28,"scala":28,"aws s3":27,"hadoop":28,"python":27,"autosys":27,"aws ec2":28,"aws eks":28,"aws emr":28,"pyspark":27,"aws glue":28,"collibra":28,"ms office":28,"snowflake":27,"aws lambda":28,"confluence":28,"databricks":27,"apache spark":27,"aws redshift":27,"aws api gateway":28,"informatica iics":28},[30,32,689,31,43,42,433,690,691,692,284,693,467,347,432,348,694,695,96,106,107,497,253],"Scala","AWS Redshift","AWS EC2","AWS EKS","AWS API Gateway","Informatica IICS","Autosys",{"devops":28,"dataops":28,"data lineage":28,"data quality":27,"data science":27,"data modeling":27,"big data tools":27,"data analytics":27,"ci\u002Fcd practices":28,"data governance":27,"data engineering":27,"data integration":27,"data warehousing":27,"agile methodology":27,"data optimization":27,"project management":27,"data virtualization":28,"etl\u002Felt development":27,"metadata management":28,"batch job operations":27,"cloud data solutions":27,"stakeholder management":27,"data lake infrastructure":27,"serverless architectures":28,"data privacy and security":27},[698,298,157,699,122,440,700,322,701,702,161,264,158,263,703,704,115,705,367,330,331,706,707,708,709],"Data Science","ETL\u002FELT Development","Data Lake Infrastructure","Cloud Data Solutions","Big Data Tools","Data Virtualization","Data Optimization","DevOps","Batch Job Operations","Data Privacy and Security","Serverless Architectures","CI\u002FCD Practices",{"id":711,"slug":712,"title":713,"raw_title":11,"is_featured":12,"company":714,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":717,"processed_country_iso_code_gmaps":719,"processed_home_office":19,"processed_salary_min":721,"processed_salary_max":722,"processed_salary_currency":723,"processed_salary_source":23,"processed_working_hours":724,"processed_employment_types":87,"processed_it_skills":725,"processed_it_skills_labels":726,"processed_job_expertise_skills":730,"processed_job_expertise_skills_labels":731,"max_cpc":70,"actual_cpc":739},84256,"senior-data-analyst-wholesale-banking-advanced-analytics-ing-hubs-bv-turkiye","Senior Data Analyst – Wholesale Banking & Advanced Analytics",{"name":715,"slug":716,"logo_url":11},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[718],"Sarıyer",[720],"TR",60000,90000,"TRY",[25],{"dbt":183,"sql":27,"cognos":28,"python":27,"pyspark":27,"tableau":28,"power bi":28,"superset":28},[31,30,32,186,727,728,729,95],"Tableau","Cognos","Superset",{"data analytics":27,"data pipelines":28,"data profiling":28,"machine learning":28,"banking analytics":28,"wholesale banking":28,"data visualization":27,"financial services":28,"statistical analysis":27,"business intelligence":27,"large dataset handling":27,"artificial intelligence":28,"data quality management":28,"reporting methodologies":27,"quantitative problem-solving":27},[322,732,733,734,735,252,290,220,599,321,655,191,736,737,738],"Statistical Analysis","Reporting Methodologies","Quantitative Problem-Solving","Large Dataset Handling","Financial Services","Banking Analytics","Wholesale Banking",0.5,{"industry":741,"employment_type":777,"expertise_skills":790,"it_skills":855,"salary_currency":920,"processed_working_hours":935},[742,745,749,753,757,760,762,765,768,771,774],{"key":743,"label":736,"count":744},"financial services",44,{"key":746,"label":747,"count":748},"insurance","Insurance",32,{"key":750,"label":751,"count":752},"banking","Banking",21,{"key":754,"label":755,"count":756},"financial markets infrastructure","Financial Markets Infrastructure",6,{"key":758,"label":759,"count":27},"data","Data",{"key":761,"label":54,"count":28},"risk management",{"key":763,"label":764,"count":28},"asset management","Asset Management",{"key":766,"label":767,"count":183},"data provider","Data Provider",{"key":769,"label":770,"count":183},"claims management","Claims Management",{"key":772,"label":773,"count":70},"wealth management","Wealth Management",{"key":775,"label":776,"count":70},"alternative investments","Alternative Investments",[778,781,784,787],{"key":87,"label":779,"count":780},"PERMANENT",79,{"key":782,"label":783,"count":28},"contract","CONTRACT",{"key":785,"label":786,"count":28},"temporary","TEMPORARY",{"key":788,"label":789,"count":70},"student","STUDENT",[791,794,796,799,802,805,808,810,813,815,818,821,824,828,830,832,834,836,840,842,845,848,850,853],{"key":792,"label":161,"slug":792,"count":793},"data-governance",36,{"key":795,"label":157,"slug":795,"count":793},"data-engineering",{"key":797,"label":122,"slug":797,"count":798},"data-modeling",29,{"key":800,"label":264,"slug":800,"count":801},"data-quality",20,{"key":803,"label":220,"slug":803,"count":804},"machine-learning",19,{"key":806,"label":263,"slug":806,"count":807},"data-lineage",14,{"key":809,"label":298,"slug":809,"count":807},"data-integration",{"key":811,"label":162,"slug":811,"count":812},"data-security",13,{"key":814,"label":158,"slug":814,"count":812},"metadata-management",{"key":816,"label":817,"slug":816,"count":812},"generative-ai","Generative Ai",{"key":819,"label":504,"slug":819,"count":820},"data-analysis",11,{"key":822,"label":191,"slug":822,"count":823},"data-pipelines",10,{"key":825,"label":826,"slug":825,"count":827},"etlelt","Etl\u002FElt",8,{"key":829,"label":322,"slug":829,"count":827},"data-analytics",{"key":831,"label":57,"slug":831,"count":827},"data-architecture",{"key":833,"label":290,"slug":833,"count":827},"business-intelligence",{"key":835,"label":54,"slug":835,"count":827},"risk-management",{"key":837,"label":838,"slug":837,"count":839},"ai-governance","Ai Governance",7,{"key":841,"label":440,"slug":841,"count":839},"data-warehousing",{"key":843,"label":844,"slug":843,"count":839},"software-engineering","Software Engineering",{"key":846,"label":847,"slug":846,"count":839},"cicd","Ci\u002FCd",{"key":849,"label":407,"slug":849,"count":839},"model-validation",{"key":851,"label":852,"slug":851,"count":756},"project-management","Project management",{"key":854,"label":221,"slug":854,"count":756},"deep-learning",[856,859,862,865,868,872,875,877,880,883,886,890,892,894,896,899,902,905,906,908,911,914,917,918],{"key":857,"label":858,"slug":857,"count":5},"pyspark","Pyspark",{"key":860,"label":30,"slug":860,"count":861},"python",85,{"key":863,"label":31,"slug":863,"count":864},"sql",77,{"key":866,"label":42,"slug":866,"count":867},"databricks",38,{"key":869,"label":870,"slug":869,"count":871},"aws","Aws",30,{"key":873,"label":96,"slug":873,"count":874},"git",27,{"key":846,"label":847,"slug":846,"count":876},24,{"key":878,"label":43,"slug":878,"count":879},"snowflake",23,{"key":881,"label":882,"slug":881,"count":804},"ms-powerbi","MS PowerBI",{"key":884,"label":94,"slug":884,"count":885},"spark",18,{"key":887,"label":888,"slug":887,"count":889},"ms-azure","MS Azure",17,{"key":891,"label":347,"slug":891,"count":889},"apache-spark",{"key":893,"label":152,"slug":893,"count":807},"terraform",{"key":895,"label":525,"slug":895,"count":812},"delta-lake",{"key":897,"label":898,"slug":897,"count":812},"docker","Docker",{"key":95,"label":900,"slug":95,"count":901},"Dbt",12,{"key":903,"label":904,"slug":903,"count":901},"kafka","Kafka",{"key":247,"label":466,"slug":247,"count":820},{"key":907,"label":689,"slug":907,"count":823},"scala",{"key":909,"label":910,"slug":909,"count":823},"java","Java",{"key":912,"label":149,"slug":912,"count":913},"airflow",9,{"key":915,"label":916,"slug":915,"count":827},"github","Github",{"key":825,"label":826,"slug":825,"count":827},{"key":919,"label":146,"slug":919,"count":827},"azure-data-factory",[921,923,924,925,926,928,929,930,932,933],{"key":22,"label":22,"count":922},28,{"key":211,"label":211,"count":804},{"key":180,"label":180,"count":812},{"key":85,"label":85,"count":812},{"key":142,"label":142,"count":927},5,{"key":553,"label":553,"count":927},{"key":390,"label":390,"count":28},{"key":931,"label":931,"count":183},"SGD",{"key":723,"label":723,"count":70},{"key":934,"label":934,"count":70},"CHF",[936,938],{"key":25,"label":25,"count":937},89,{"key":243,"label":243,"count":183},{"total":70,"jobs":940},[]]