[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fbig-data-technologies":3,"seo-content-skill-big-data-technologies-global":188,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fbig-data-technologies":189,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fbig-data-technologies":654},{"industry":4,"employment_type":21,"expertise_skills":26,"it_skills":101,"salary_currency":174,"processed_working_hours":185},[5,9,13,17],{"key":6,"label":7,"count":8},"financial services","Financial Services",11,{"key":10,"label":11,"count":12},"banking","Banking",6,{"key":14,"label":15,"count":16},"insurance","Insurance",2,{"key":18,"label":19,"count":20},"asset management","Asset Management",1,[22],{"key":23,"label":24,"count":25},"permanent","PERMANENT",13,[27,31,34,38,41,44,47,50,53,56,59,62,65,68,71,74,77,80,83,86,89,92,95,98],{"key":28,"label":29,"slug":28,"count":30},"statistics","Statistics",4,{"key":32,"label":33,"slug":32,"count":30},"risk-management","Risk Management",{"key":35,"label":36,"slug":35,"count":37},"operations-research","Operations Research",3,{"key":39,"label":40,"slug":39,"count":37},"mathematics","Mathematics",{"key":42,"label":43,"slug":42,"count":37},"data-preprocessing","Data Preprocessing",{"key":45,"label":46,"slug":45,"count":37},"data-wrangling","Data Wrangling",{"key":48,"label":49,"slug":48,"count":37},"data-engineering","Data Engineering",{"key":51,"label":52,"slug":51,"count":37},"data-governance","Data Governance",{"key":54,"label":55,"slug":54,"count":16},"data-mining","Data Mining",{"key":57,"label":58,"slug":57,"count":16},"business-intelligence","Business Intelligence",{"key":60,"label":61,"slug":60,"count":16},"data-modeling","Data Modeling",{"key":63,"label":64,"slug":63,"count":16},"trust-bias-and-ethics","Trust, Bias And Ethics",{"key":66,"label":67,"slug":66,"count":16},"predictive-modeling","Predictive Modeling",{"key":69,"label":70,"slug":69,"count":16},"performance-tuning","Performance Tuning",{"key":72,"label":73,"slug":72,"count":16},"data-architecture","Data Architecture",{"key":75,"label":76,"slug":75,"count":16},"devops","Devops",{"key":78,"label":79,"slug":78,"count":16},"machine-learning","Machine Learning",{"key":81,"label":82,"slug":81,"count":16},"database-design","Database Design",{"key":84,"label":85,"slug":84,"count":16},"data-security","Data Security",{"key":87,"label":88,"slug":87,"count":16},"quality-assurance","Quality Assurance",{"key":90,"label":91,"slug":90,"count":20},"asset-management-knowledge","Asset Management Knowledge",{"key":93,"label":94,"slug":93,"count":20},"metadata-management","Metadata Management",{"key":96,"label":97,"slug":96,"count":20},"data-classification","Data Classification",{"key":99,"label":100,"slug":99,"count":20},"data-analytics","Data Analytics",[102,105,109,113,114,117,120,123,126,129,132,135,138,141,144,147,150,153,156,159,162,165,168,171],{"key":103,"label":104,"slug":103,"count":25},"big-data-technologies","Big Data Technologies",{"key":106,"label":107,"slug":106,"count":108},"python","Python",10,{"key":110,"label":111,"slug":110,"count":112},"sql","SQL",9,{"key":78,"label":79,"slug":78,"count":12},{"key":115,"label":116,"slug":115,"count":30},"java","Java",{"key":118,"label":119,"slug":118,"count":30},"cicd","Ci\u002FCd",{"key":121,"label":122,"slug":121,"count":37},"data-visualization-tools","Data Visualization Tools",{"key":124,"label":125,"slug":124,"count":37},"hadoop","Hadoop",{"key":127,"label":128,"slug":127,"count":16},"git-flow","Git Flow",{"key":130,"label":131,"slug":130,"count":16},"scala","Scala",{"key":133,"label":134,"slug":133,"count":16},"spark","Spark",{"key":136,"label":137,"slug":136,"count":16},"aws","Aws",{"key":139,"label":140,"slug":139,"count":16},"ai-tools","Ai Tools",{"key":142,"label":143,"slug":142,"count":16},"deep-learning","Deep Learning",{"key":145,"label":146,"slug":145,"count":16},"postgresql","Postgresql",{"key":148,"label":149,"slug":148,"count":16},"jira","Jira",{"key":151,"label":152,"slug":151,"count":16},"business-objects","Business Objects",{"key":154,"label":155,"slug":154,"count":16},"ms-azure","MS Azure",{"key":157,"label":158,"slug":157,"count":16},"test-driven-development","Test Driven Development",{"key":160,"label":161,"slug":160,"count":16},"tableau","Tableau",{"key":163,"label":164,"slug":163,"count":20},"qlikview","Qlikview",{"key":166,"label":167,"slug":166,"count":20},"infrastructure-as-code","Infrastructure As Code",{"key":169,"label":170,"slug":169,"count":20},"aiq","Aiq",{"key":172,"label":173,"slug":172,"count":20},"site-reliability-engineering-sre","Site Reliability Engineering (Sre)",[175,177,179,181,183],{"key":176,"label":176,"count":12},"USD",{"key":178,"label":178,"count":16},"CAD",{"key":180,"label":180,"count":16},"EUR",{"key":182,"label":182,"count":16},"INR",{"key":184,"label":184,"count":20},"GBP",[186],{"key":187,"label":187,"count":25},"FULL_TIME",{},{"total":25,"jobs":190},[191,222,259,319,374,396,412,429,470,505,527,553,610],{"id":192,"slug":193,"title":194,"raw_title":195,"is_featured":196,"company":197,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":200,"processed_country_iso_code_gmaps":202,"processed_home_office":204,"processed_salary_min":205,"processed_salary_max":206,"processed_salary_currency":178,"processed_salary_source":207,"processed_working_hours":208,"processed_employment_types":23,"processed_it_skills":209,"processed_it_skills_labels":210,"processed_job_expertise_skills":214,"processed_job_expertise_skills_labels":215,"max_cpc":20,"actual_cpc":20},83297,"advisor-data-engineering-desjardins-technology-group","Advisor, Data engineering",null,false,{"name":198,"slug":199,"logo_url":195},"Desjardins Technology Group","desjardins-technology-group",[201],"Montréal",[203],"CA","hybrid",90000,120000,"estimated",[187],{"sql":37,"python":37,"etl tools":37,"cloud platforms":37,"data pipeline tools":37,"big data technologies":37},[107,111,211,212,213,104],"ETL Tools","Data Pipeline Tools","Cloud Platforms",{"prototyping":37,"data modeling":37,"data management":37,"data engineering":30,"data integration":37,"it documentation":37,"training delivery":37,"algorithm development":37},[49,61,216,217,218,219,220,221],"Data Integration","Data Management","Algorithm Development","Prototyping","Training Delivery","IT Documentation",{"id":223,"slug":224,"title":225,"raw_title":195,"is_featured":196,"company":226,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":229,"processed_country_iso_code_gmaps":231,"processed_home_office":204,"processed_salary_min":232,"processed_salary_max":233,"processed_salary_currency":178,"processed_salary_source":207,"processed_working_hours":234,"processed_employment_types":23,"processed_it_skills":235,"processed_it_skills_labels":236,"processed_job_expertise_skills":248,"processed_job_expertise_skills_labels":249,"max_cpc":20,"actual_cpc":20},82458,"ai-product-scaling-director-canadian-imperial-bank-of-commerce-canada","AI Product Scaling Director",{"name":227,"slug":228,"logo_url":195},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[230],"Toronto",[203],150000,200000,[187],{"ci\u002Fcd":30,"python":30,"testing":30,"agentic ai":37,"api design":30,"sdk design":30,"versioning":37,"generative ai":37,"observability":37,"system design":30,"machine learning":37,"platform engineering":37,"big data technologies":37,"production operations":37},[107,237,238,239,240,241,242,243,244,79,245,246,104,247],"CI\u002FCD","API Design","SDK Design","System Design","Testing","Versioning","Observability","Production Operations","Generative AI","Agentic AI","Platform Engineering",{"continuous delivery":30,"ai quality assurance":30,"ai product engineering":30,"coaching and mentoring":37,"developer experience design":37,"scalable system architecture":30,"agentic development workflows":37,"software engineering leadership":30,"engineering standards development":30},[250,251,252,253,254,255,256,257,258],"Software Engineering Leadership","AI Product Engineering","Scalable System Architecture","Engineering Standards Development","AI Quality Assurance","Continuous Delivery","Developer Experience Design","Coaching and Mentoring","Agentic Development Workflows",{"id":260,"slug":261,"title":262,"raw_title":195,"is_featured":196,"company":263,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":266,"processed_country_iso_code_gmaps":268,"processed_home_office":270,"processed_salary_min":271,"processed_salary_max":272,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":273,"processed_employment_types":23,"processed_it_skills":274,"processed_it_skills_labels":275,"processed_job_expertise_skills":292,"processed_job_expertise_skills_labels":293,"max_cpc":20,"actual_cpc":20},85796,"engineering-senior-manager-fraud-technologies-manufacturers-and-traders-trust-co","Engineering Senior Manager, Fraud Technologies",{"name":264,"slug":265,"logo_url":195},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[267],"Buffalo",[269],"US","onsite",167600,279400,[187],{"aiq":30,"sql":37,"java":37,"ci\u002Fcd":30,"falcon":30,"python":37,"feedzai":30,"actimize":30,"featurespace":30,"nice actimize":30,"cloud computing":30,"graph databases":37,"machine learning":30,"network analytics":37,"real-time analytics":30,"sas fraud management":30,"big data technologies":30,"infrastructure as code":30,"artificial intelligence":30,"event-driven architecture":30,"real-time event streaming":30,"site reliability engineering (sre)":30},[107,111,116,276,237,277,278,279,280,104,281,282,283,79,284,285,286,287,288,289,290,291],"Cloud Computing","Infrastructure as Code","Site Reliability Engineering (SRE)","Event-Driven Architecture","Real-Time Analytics","Graph Databases","Network Analytics","Real-Time Event Streaming","Artificial Intelligence","Actimize","AIQ","Featurespace","Feedzai","Falcon","SAS Fraud Management","NICE Actimize",{"cybersecurity":30,"authentication":30,"agile practices":30,"fraud detection":30,"risk management":30,"fraud prevention":30,"budget management":30,"customer identity":30,"fraud decisioning":30,"vendor management":30,"project management":30,"strategic planning":30,"talent development":30,"workforce planning":30,"employee engagement":30,"fraud investigation":30,"succession planning":30,"technology governance":30,"operational excellence":30,"performance management":30,"platform modernization":30,"case management systems":30,"fraud operations support":30,"system development life cycle":30,"digital banking risk management":30,"real-time transaction processing":30},[294,295,296,297,33,298,299,300,301,302,303,304,305,306,307,308,309,310,311,312,313,314,315,316,317,318],"Fraud Prevention","Fraud Detection","Fraud Investigation","Fraud Decisioning","Real-Time Transaction Processing","Case Management Systems","Fraud Operations Support","Agile Practices","Budget Management","Strategic Planning","Workforce Planning","Performance Management","Talent Development","Succession Planning","Employee Engagement","Vendor Management","Technology Governance","Operational Excellence","Platform Modernization","System Development Life Cycle","Project Management","Customer Identity","Authentication","Cybersecurity","Digital Banking Risk Management",{"id":320,"slug":321,"title":322,"raw_title":195,"is_featured":196,"company":323,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":326,"processed_country_iso_code_gmaps":328,"processed_home_office":204,"processed_salary_min":330,"processed_salary_max":331,"processed_salary_currency":184,"processed_salary_source":207,"processed_working_hours":332,"processed_employment_types":23,"processed_it_skills":333,"processed_it_skills_labels":334,"processed_job_expertise_skills":366,"processed_job_expertise_skills_labels":367,"max_cpc":20,"actual_cpc":20},85448,"software-engineer-backend-lloyds-bank-plc","Software Engineer - Backend",{"name":324,"slug":325,"logo_url":195},"LLOYDS BANK PLC","lloyds-bank-plc",[327],"Bristol",[329],"GB",63152,78940,[187],{"go":16,"aws":37,"bdd":37,"gcp":37,"ios":16,"sql":30,"java":30,"rest":30,"rust":16,"soap":37,"azure":37,"coesf":37,"linux":37,"maven":37,"mysql":30,"nosql":37,"gradle":37,"kotlin":16,"python":16,"android":16,"cypress":37,"flutter":16,"graphql":37,"mongodb":37,"quarkus":16,"cassandra":37,"kubernetes":37,"playwright":37,"postgresql":30,"hibernate orm":16,"ci\u002Fcd pipelines":37,"test automation":37,"machine learning":16,"spring ecosystem":30,"big data technologies":16},[116,335,336,337,338,111,339,340,341,342,343,344,345,346,347,348,349,350,351,352,353,354,355,356,357,358,359,360,361,362,363,107,364,79,365],"Spring Ecosystem","AWS","GCP","Azure","PostgreSQL","MySQL","NoSQL","MongoDB","Cassandra","SOAP","REST","GraphQL","Kubernetes","Linux","CI\u002FCD pipelines","Test automation","Gradle","Maven","BDD","Playwright","Cypress","COESF","Kotlin","iOS","Android","Flutter","Rust","Hibernate ORM","Quarkus","Big Data technologies","Go",{"database design":30,"networking principles":16,"system architecture design":30,"linux system administration":16,"integration with external services":30,"distributed and scalable applications principles":37},[368,369,370,371,372,373],"System architecture design","Database design","Integration with external services","Distributed and scalable applications principles","Networking principles","Linux system administration",{"id":375,"slug":376,"title":377,"raw_title":195,"is_featured":196,"company":378,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":381,"processed_country_iso_code_gmaps":383,"processed_home_office":270,"processed_salary_min":205,"processed_salary_max":384,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":385,"processed_employment_types":23,"processed_it_skills":386,"processed_it_skills_labels":387,"processed_job_expertise_skills":389,"processed_job_expertise_skills_labels":390,"max_cpc":20,"actual_cpc":20},81106,"senior-data-scientist-bmo-bank-na","Senior Data Scientist",{"name":379,"slug":380,"logo_url":195},"BMO Bank N.A.","bmo-bank-na",[382],"Chicago",[269],180000,[187],{"sql":37,"python":30,"big data technologies":30,"data visualization tools":30,"machine learning frameworks":30},[107,111,104,122,388],"Machine Learning Frameworks",{"big data":30,"statistics":37,"mathematics":37,"deep learning":37,"data wrangling":30,"machine learning":37,"data preprocessing":30,"data visualization":30,"operations research":37,"trust, bias and ethics":37,"data driven decision making":30,"computational thinking and programming":30},[40,29,36,143,79,391,392,393,394,46,43,395],"Trust, Bias and Ethics","Big Data","Data Visualization","Computational Thinking and Programming","Data Driven Decision Making",{"id":397,"slug":398,"title":399,"raw_title":195,"is_featured":196,"company":400,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":401,"processed_country_iso_code_gmaps":402,"processed_home_office":270,"processed_salary_min":403,"processed_salary_max":404,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":405,"processed_employment_types":23,"processed_it_skills":406,"processed_it_skills_labels":407,"processed_job_expertise_skills":409,"processed_job_expertise_skills_labels":410,"max_cpc":20,"actual_cpc":20},81091,"data-analyst-bmo-bank-na","Data Analyst",{"name":379,"slug":380,"logo_url":195},[382],[269],65000,140000,[187],{"r":37,"sql":37,"python":37,"deep learning":30,"machine learning":30,"big data technologies":37,"data visualization tools":37},[107,111,408,79,143,104,122],"R",{"statistics":37,"mathematics":37,"data wrangling":37,"risk management":37,"data preprocessing":37,"operations research":37,"predictive modeling":30,"ai\u002Fml solution assessment":37},[40,29,36,46,43,67,411,33],"AI\u002FML Solution Assessment",{"id":413,"slug":414,"title":415,"raw_title":195,"is_featured":196,"company":416,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":419,"processed_country_iso_code_gmaps":420,"processed_home_office":270,"processed_salary_min":421,"processed_salary_max":422,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":423,"processed_employment_types":23,"processed_it_skills":424,"processed_it_skills_labels":425,"processed_job_expertise_skills":426,"processed_job_expertise_skills_labels":427,"max_cpc":20,"actual_cpc":20},70449,"data-scientist-bank-of-montreal","Data Scientist",{"name":417,"slug":418,"logo_url":195},"Bank of Montreal","bank-of-montreal",[230],[203],105000,215000,[187],{"sql":37,"python":30,"deep learning":30,"machine learning":30,"big data technologies":30,"data visualization tools":37},[107,111,79,143,104,122],{"statistics":30,"mathematics":30,"data wrangling":30,"risk management":37,"creative reasoning":30,"data preprocessing":30,"operations research":30,"trust, bias and ethics":30},[40,29,36,391,46,43,428,33],"Creative Reasoning",{"id":430,"slug":431,"title":432,"raw_title":195,"is_featured":196,"company":433,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":436,"processed_country_iso_code_gmaps":438,"processed_home_office":270,"processed_salary_min":404,"processed_salary_max":439,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":440,"processed_employment_types":23,"processed_it_skills":441,"processed_it_skills_labels":442,"processed_job_expertise_skills":451,"processed_job_expertise_skills_labels":452,"max_cpc":20,"actual_cpc":20},76886,"data-architect-federal-reserve-bank-of-st-louis","Data Architect",{"name":434,"slug":435,"logo_url":195},"Federal Reserve Bank of St. Louis","federal-reserve-bank-of-st-louis",[437],"St. Louis",[269],170000,[187],{"ai":16,"aws":37,"sql":30,"postgresql":30,"machine learning":16,"data modeling tools":30,"cloud data platforms":30,"big data technologies":37,"data catalog platforms":37,"data warehousing tools":37,"distributed query engines":37,"metadata management platforms":37,"large-scale data processing systems":37},[339,111,336,443,444,445,104,79,446,447,448,449,450],"Cloud Data Platforms","Data Modeling Tools","Data Warehousing Tools","AI","Data Catalog Platforms","Metadata Management Platforms","Distributed Query Engines","Large-scale Data Processing Systems",{"caching":30,"dataops":30,"encryption":30,"auditability":30,"data security":30,"access control":30,"data governance":30,"database design":30,"data engineering":30,"time-series data":37,"data architecture":30,"economic datasets":16,"public data access":16,"retention policies":30,"analytical datasets":37,"data classification":30,"data access patterns":30,"partitioning strategies":30,"data privacy regulations":30,"data integration patterns":30,"data lifecycle management":30,"data storage technologies":30,"research data environments":16},[73,49,82,52,85,453,454,455,456,457,458,459,460,97,461,462,463,464,465,466,467,468,469],"DataOps","Data Privacy Regulations","Data Lifecycle Management","Data Integration Patterns","Data Storage Technologies","Partitioning Strategies","Caching","Data Access Patterns","Access Control","Encryption","Retention Policies","Auditability","Time-series Data","Analytical Datasets","Economic Datasets","Research Data Environments","Public Data Access",{"id":471,"slug":472,"title":473,"raw_title":195,"is_featured":196,"company":474,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":477,"processed_country_iso_code_gmaps":479,"processed_home_office":204,"processed_salary_min":481,"processed_salary_max":482,"processed_salary_currency":180,"processed_salary_source":207,"processed_working_hours":483,"processed_employment_types":23,"processed_it_skills":484,"processed_it_skills_labels":485,"processed_job_expertise_skills":491,"processed_job_expertise_skills_labels":492,"max_cpc":20,"actual_cpc":20},82821,"senior-oracle-developer-fmx-f063-db-global-technology-srl","Senior Oracle Developer (f\u002Fm\u002Fx)",{"name":475,"slug":476,"logo_url":195},"F063 DB Global Technology SRL","f063-db-global-technology-srl",[478],"Bukarest",[480],"RO",30000,50000,[187],{"java":30,"jira":37,"ci\u002Fcd":37,"scala":16,"spark":16,"hadoop":16,"ai tools":16,"git flow":37,"oracle pl\u002Fsql":30,"agile methodologies":37,"big data technologies":16,"test driven development":37,"continuous integration (teamcity)":37},[486,116,487,158,488,489,128,125,134,364,131,237,490],"Oracle PL\u002FSQL","Continuous Integration (TeamCity)","Agile methodologies","JIRA","AI tools",{"devops":37,"automation":37,"etl testing":37,"data modeling":30,"etl development":30,"data warehousing":30,"defect management":37,"quality assurance":37,"performance tuning":30,"architectural design":37,"business intelligence":30,"software development lifecycle":30,"financial domain knowledge (liquidity, funding, capital, collateral management)":37},[493,58,494,495,496,497,498,499,500,501,502,503,504],"Data Warehousing","ETL development","Data modeling","Performance tuning","Quality assurance","ETL testing","Defect management","Software development lifecycle","DevOps","Automation","Architectural design","Financial domain knowledge (liquidity, funding, capital, collateral management)",{"id":506,"slug":507,"title":508,"raw_title":195,"is_featured":196,"company":509,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":512,"processed_country_iso_code_gmaps":514,"processed_home_office":270,"processed_salary_min":481,"processed_salary_max":516,"processed_salary_currency":176,"processed_salary_source":207,"processed_working_hours":517,"processed_employment_types":23,"processed_it_skills":518,"processed_it_skills_labels":519,"processed_job_expertise_skills":521,"processed_job_expertise_skills_labels":522,"max_cpc":20,"actual_cpc":20},76791,"senior-data-scientist-chuyen-vien-cap-cao-khoa-hoc-du-lieu-prudential-vietnam-assurance-private-ltd","Senior Data Scientist (Chuyên viên Cấp cao Khoa Học Dữ Liệu)",{"name":510,"slug":511,"logo_url":195},"Prudential Vietnam Assurance Private Ltd.","prudential-vietnam-assurance-private-ltd",[513],"Thành phố Hồ Chí Minh",[515],"VN",60000,[187],{"sql":30,"python":30,"open source systems":37,"big data technologies":37},[107,111,364,520],"Open source systems",{"statistics":30,"a\u002Fb testing":30,"data mining":30,"machine learning":30,"feature engineering":30,"data-driven decision making":37,"data science project management":30},[79,29,55,523,524,525,526],"A\u002FB Testing","Data Science Project Management","Feature Engineering","Data-Driven Decision Making",{"id":528,"slug":529,"title":530,"raw_title":195,"is_featured":196,"company":531,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":534,"processed_country_iso_code_gmaps":536,"processed_home_office":204,"processed_salary_min":516,"processed_salary_max":205,"processed_salary_currency":182,"processed_salary_source":207,"processed_working_hours":538,"processed_employment_types":23,"processed_it_skills":539,"processed_it_skills_labels":540,"processed_job_expertise_skills":546,"processed_job_expertise_skills_labels":547,"max_cpc":20,"actual_cpc":20},61491,"vice-president-professional-practices-internal-audit-mufg-global-service-private-limited","Vice President - Professional Practices, Internal Audit",{"name":532,"slug":533,"logo_url":195},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[535],"Bengaluru",[537],"IN",[187],{"sql":37,"python":37,"alteryx":37,"tableau":30,"power bi":30,"qlikview":37,"business objects":37,"data visualization":30,"ai\u002Fmachine learning":37,"big data technologies":37,"oracle business intelligence":37},[161,541,542,543,152,544,107,111,545,393,104],"Power BI","QlikView","Oracle Business Intelligence","Alteryx","AI\u002FMachine Learning",{"data mining":37,"data lineage":37,"data analytics":30,"internal audit":37,"audit reporting":37,"data governance":37,"risk management":37,"change management":37,"financial services":37,"metadata management":37,"predictive modeling":37,"business intelligence":30,"management information reporting":37},[58,100,55,67,52,548,94,549,33,7,550,551,552],"Data Lineage","Audit Reporting","Internal Audit","Management Information Reporting","Change Management",{"id":554,"slug":555,"title":556,"raw_title":195,"is_featured":196,"company":557,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":560,"processed_country_iso_code_gmaps":562,"processed_home_office":204,"processed_salary_min":563,"processed_salary_max":564,"processed_salary_currency":182,"processed_salary_source":207,"processed_working_hours":565,"processed_employment_types":23,"processed_it_skills":566,"processed_it_skills_labels":567,"processed_job_expertise_skills":587,"processed_job_expertise_skills_labels":588,"max_cpc":20,"actual_cpc":20},72400,"senior-engineer-javabigdata-f337-deutsche-india-private-limited-pune-branch","Senior Engineer Java\u002FBigdata",{"name":558,"slug":559,"logo_url":195},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[561],"Pune",[537],3000000,5000000,[187],{"css3":16,"hive":37,"java":30,"jira":37,"html5":16,"junit":37,"scala":16,"hadoop":37,"impala":16,"oracle":37,"pl\u002Fsql":37,"python":37,"spring":30,"tableau":16,"ai tools":37,"git flow":37,"teamcity":37,"spark sql":37,"angular.js":16,"javascript":16,"etl testing":37,"spark streaming":37,"business objects":16,"elastic mapreduce":16,"reactive patterns":16,"big data technologies":37,"continuous integration":37,"automated testing tools":37,"test driven development":37,"data frames and datasets":37},[116,107,131,568,569,570,571,572,573,125,364,574,575,576,577,578,579,580,158,581,582,583,584,152,161,489,128,585,490,586],"Spark Streaming","Spark SQL","Elastic MapReduce","Data frames and Datasets","Impala","Hive","Continuous Integration","TeamCity","JUnit","ETL Testing","Oracle","PL\u002FSQL","Reactive patterns","HTML5","CSS3","JavaScript","Angular.js","Automated testing tools","Spring",{"aws":37,"etl":30,"gcp":37,"azure":37,"scrum":30,"devops":30,"oracle exadata":37,"system testing":37,"cloud platforms":37,"batch processing":37,"automated testing":30,"quality assurance":30,"stream processing":37,"performance tuning":30,"agile methodologies":30,"performance testing":37,"software versioning":37,"relational databases":30,"risk domain knowledge":37,"software architecture":30,"full software lifecycle":30,"test driven development":30,"white\u002Fblack box testing":37,"sales & trading knowledge":37,"treasury domain knowledge":37,"asset management knowledge":37,"domain knowledge in finance":37,"real-time report generation":37,"investment banking knowledge":37,"integration with downstream systems":37},[589,590,591,501,70,592,593,594,88,595,158,596,597,598,599,213,337,336,338,600,601,602,603,604,605,606,607,608,91,609],"Software Architecture","Agile Methodologies","Scrum","ETL","Relational Databases","Oracle Exadata","Software Versioning","Automated Testing","White\u002FBlack Box Testing","System Testing","Performance Testing","Stream Processing","Batch Processing","Real-time Report Generation","Integration with Downstream Systems","Full Software Lifecycle","Domain Knowledge in Finance","Treasury Domain Knowledge","Risk Domain Knowledge","Investment Banking Knowledge","Sales & Trading Knowledge",{"id":611,"slug":612,"title":613,"raw_title":195,"is_featured":196,"company":614,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":618,"processed_country_iso_code_gmaps":620,"processed_home_office":204,"processed_salary_min":622,"processed_salary_max":623,"processed_salary_currency":180,"processed_salary_source":207,"processed_working_hours":624,"processed_employment_types":23,"processed_it_skills":625,"processed_it_skills_labels":626,"processed_job_expertise_skills":633,"processed_job_expertise_skills_labels":634,"max_cpc":20,"actual_cpc":653},23487,"senior-data-architectd-2118-allianz-insurance","Senior Data Architect_D-2118",{"name":615,"slug":616,"logo_url":617},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[619],"Barcelona",[621],"ES",70000,110000,[187],{"azure":30,"ci\u002Fcd":30,"spark":37,"hadoop":37,"terraform":30,"data vault":30,"databricks":37,"azure synapse":30,"data modeling":30,"data warehousing":30,"big data technologies":37,"infrastructure-as-code":30,"web application stacks":16},[338,627,628,629,134,125,630,237,631,493,61,104,632],"Azure Synapse","Databricks","Data Vault","Terraform","Infrastructure-as-Code","Web Application Stacks",{"itil":37,"itsm":37,"finops":30,"compliance":30,"monitoring":30,"data security":30,"observability":30,"cost estimation":30,"data governance":30,"standardization":30,"data engineering":30,"cost optimization":30,"data architecture":30,"disaster recovery":30,"effort estimation":30,"release management":30,"service management":30,"incident management":30,"platform operations":30,"devops best practices":30,"requirements analysis":30,"stakeholder alignment":30,"architecture harmonization":30},[73,49,635,636,637,638,639,640,641,642,643,243,644,645,52,85,646,647,648,649,650,651,652],"DevOps Best Practices","Platform Operations","Release Management","Cost Optimization","FinOps","Incident Management","Service Management","Disaster Recovery","Monitoring","ITSM","ITIL","Compliance","Stakeholder Alignment","Requirements Analysis","Cost Estimation","Effort Estimation","Architecture Harmonization","Standardization",0.5,{"total":20,"jobs":655},[656],{"id":657,"slug":658,"title":659,"raw_title":195,"is_featured":660,"company":661,"raw_hiringOrganization_logo_url":195,"processed_city_gmaps":665,"processed_country_iso_code_gmaps":667,"processed_home_office":669,"processed_salary_min":670,"processed_salary_max":403,"processed_salary_currency":180,"processed_salary_source":195,"processed_working_hours":671,"processed_employment_types":24,"processed_it_skills":673,"processed_it_skills_labels":195,"processed_job_expertise_skills":674,"processed_job_expertise_skills_labels":675,"max_cpc":682,"actual_cpc":195},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":662,"slug":663,"logo_url":664},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[666],"Frankfurt am Main",[668],"DE","HYBRID",45000,[672],"full_time",{},{"Financial Analysis":37,"Regulatory Compliance":37,"New Customer Acquisition":37,"Private Banking Advisory":37,"Banking Products Knowledge":37,"Customer Relationship Management":37},[676,677,678,679,680,681],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Regulatory Compliance","Customer Relationship Management","New Customer Acquisition",0.8]