[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-hadoop-global":3,"job-search-\u002Fde-global\u002Fjobs-by-skill\u002Fhadoop":4,"skill-page-filters-\u002Fde-global\u002Fjobs-by-skill\u002Fhadoop":639,"featured-jobs-\u002Fde-global\u002Fjobs-by-skill\u002Fhadoop":803},{},{"total":5,"jobs":6},53,[7,61,97,164,202,242,280,312,370,396,408,434,463,485,500,532,553,571,583,615],{"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":46,"processed_job_expertise_skills_labels":47,"max_cpc":60,"actual_cpc":60},84391,"big-data-engineer-midsenior-ing-hubs-bv-sp-z-oo-oddzia-w-polsce","Big Data Engineer (mid\u002Fsenior)",null,false,{"name":14,"slug":15,"logo_url":16},"ING Hubs B.V. sp. z o.o. Oddzial w Polsce","ing-hubs-bv-sp-z-oo-oddzial-w-polsce","https:\u002F\u002Fwww.ing.de\u002Fbinaries\u002Fcontent\u002Fgallery\u002Fing-images\u002Fuber-uns\u002Fpresse\u002Fpressebilder\u002Fing_logo-72dpi_rgb.jpg",[18],"Warszawa",[20],"PL","hybrid",115200,216000,"PLN","estimated",[27],"FULL_TIME","permanent",{"c#":30,"sql":31,"java":30,"ci\u002Fcd":31,"nosql":31,"scala":31,"spark":32,"hadoop":32,"testing":31,"data fusion":31,"elasticsearch":32,"version control":31},2,3,4,[34,35,36,37,38,39,40,41,42,43,44,45],"Spark","Hadoop","Elasticsearch","Scala","Java","C#","SQL","NoSQL","CI\u002FCD","Version Control","Testing","Data Fusion",{"etl":32,"big data":32,"sanctions":31,"compliance":31,"data pipelines":32,"financial crime":31,"fraud prevention":31,"agile methodologies":31,"anti-money laundering":31,"functional programming":31,"counter terrorism financing":31,"software development best practices":32},[48,49,50,51,52,53,54,55,56,57,58,59],"Big Data","Functional Programming","Agile Methodologies","Software Development Best Practices","Data Pipelines","ETL","Fraud Prevention","Compliance","Financial Crime","Anti-Money Laundering","Counter Terrorism Financing","Sanctions",1,{"id":62,"slug":63,"title":64,"raw_title":11,"is_featured":12,"company":65,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":68,"processed_country_iso_code_gmaps":70,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":74,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":76,"processed_employment_types":28,"processed_it_skills":77,"processed_it_skills_labels":78,"processed_job_expertise_skills":85,"processed_job_expertise_skills_labels":86,"max_cpc":60,"actual_cpc":60},88878,"compliance-analytics-insights-uob-indonesia","Compliance Analytics & Insights",{"name":66,"slug":67,"logo_url":11},"UOB Indonesia","uob-indonesia",[69],"Zentral-Jakarta",[71],"ID","onsite",30000,60000,"USD",[27],{"hive":31,"jira":31,"oozie":31,"spark":32,"hadoop":31,"impala":31,"python":32,"robotic process automation (rpa)":31},[79,34,80,81,82,35,83,84],"Python","Hive","Impala","Oozie","JIRA","Robotic Process Automation (RPA)",{"agile methods":31,"schema design":32,"data operations":32,"data engineering":32,"root cause analysis":32,"data lineage mapping":31,"ml\u002Fai model deployment":32,"data quality management":32,"data pipeline development":32,"dimensional data modeling":32},[87,88,89,90,91,92,93,94,95,96],"Data Engineering","Data Operations","Schema Design","Dimensional Data Modeling","Root Cause Analysis","ML\u002FAI Model Deployment","Agile Methods","Data Pipeline Development","Data Quality Management","Data Lineage Mapping",{"id":98,"slug":99,"title":100,"raw_title":11,"is_featured":12,"company":101,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":104,"processed_country_iso_code_gmaps":106,"processed_home_office":72,"processed_salary_min":108,"processed_salary_max":109,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":110,"processed_employment_types":28,"processed_it_skills":111,"processed_it_skills_labels":112,"processed_job_expertise_skills":137,"processed_job_expertise_skills_labels":138,"max_cpc":60,"actual_cpc":60},85793,"engineering-manager-manufacturers-and-traders-trust-co","Engineering Manager",{"name":102,"slug":103,"logo_url":11},"Manufacturers and Traders Trust Co","manufacturers-and-traders-trust-co",[105],"Buffalo",[107],"US",208938,218938,[27],{"git":32,"sql":32,"tfs":32,".net":32,"java":32,"jira":32,"miro":32,"ssis":32,"ssrs":32,"flask":32,"nosql":32,"react":32,"visio":32,"django":32,"hadoop":32,"oracle":32,"python":32,"trello":32,"angular":32,"datadog":32,"dynatrace":32,"confluence":32,"lucidchart":32,"prometheus":32,"informatica":32,"big data tools":32,"business objects":32,"spring framework":32,"microsoft project":32,"erwin data modeler":32},[40,113,41,114,35,115,116,117,118,119,120,83,121,122,123,124,125,126,127,128,38,129,130,131,79,132,133,134,135,136],"Oracle","Big Data Tools","SSIS","Informatica","SSRS","Business Objects","Git","TFS","Confluence","Erwin Data Modeler","Lucidchart","Miro","Visio","Dynatrace","Datadog","Prometheus",".NET","React","Angular","Flask","Django","Spring Framework","Microsoft Project","Trello",{"aml":32,"kyc":32,"staffing":32,"compliance":32,"promotions":32,"restful apis":32,"terminations":32,"data modeling":32,"etl processes":32,"microservices":32,"ci\u002Fcd pipelines":32,"risk management":32,"budget management":32,"fishbone analysis":32,"internal controls":32,"rapid prototyping":32,"project management":32,"resource allocation":32,"root cause analysis":32,"performance appraisals":32,"salary recommendations":32,"application development":32,"waterfall methodologies":32,"agile software development":32,"system performance monitoring":32,"identity and digital transformation":32,"software development life cycle (sdlc)":32},[139,140,141,142,143,144,145,146,147,55,148,149,150,151,152,153,154,155,156,157,158,91,159,160,161,162,163],"Application Development","Microservices","ETL Processes","Data Modeling","Agile Software Development","CI\u002FCD Pipelines","Software Development Life Cycle (SDLC)","Waterfall Methodologies","Risk Management","AML","KYC","Identity and Digital Transformation","Internal Controls","Budget Management","Staffing","Performance Appraisals","Promotions","Salary Recommendations","Terminations","Project Management","Fishbone Analysis","System Performance Monitoring","Rapid Prototyping","RESTful APIs","Resource Allocation",{"id":165,"slug":166,"title":167,"raw_title":11,"is_featured":12,"company":168,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":171,"processed_country_iso_code_gmaps":173,"processed_home_office":72,"processed_salary_min":175,"processed_salary_max":176,"processed_salary_currency":177,"processed_salary_source":25,"processed_working_hours":178,"processed_employment_types":28,"processed_it_skills":179,"processed_it_skills_labels":180,"processed_job_expertise_skills":191,"processed_job_expertise_skills_labels":192,"max_cpc":60,"actual_cpc":60},81352,"data-engineer-bank-of-montreal-3","Data Engineer",{"name":169,"slug":170,"logo_url":11},"Bank of Montreal","bank-of-montreal",[172],"Toronto",[174],"CA",55500,120000,"CAD",[27],{"sql":31,"jira":31,"ssis":31,"genai":31,"nosql":31,"scala":31,"spark":31,"hadoop":31,"python":31,"netezza":31,"aws glue":31,"ai concepts":31,"data warehousing":31,"prompt engineering":31,"etl\u002Felt development":31,"ai-powered tools in sdlc":31,"retrieval-augmented generation (rag)":31,"cloud storage and computing services (aws, azure)":31},[40,41,79,34,37,115,181,182,35,183,83,184,185,186,187,188,189,190],"AWS Glue","Cloud Storage and Computing Services (AWS, Azure)","Netezza","ETL\u002FELT Development","Data Warehousing","AI Concepts","GenAI","Prompt Engineering","Retrieval-Augmented Generation (RAG)","AI-Powered Tools in SDLC",{"data mapping":31,"data analysis":31,"agile delivery":31,"data profiling":31,"technical design":31,"regression testing":31,"process improvement":31,"automation scripting":31,"framework development":31},[193,194,195,196,197,198,199,200,201],"Data Analysis","Data Mapping","Data Profiling","Agile Delivery","Regression Testing","Process Improvement","Technical Design","Automation Scripting","Framework Development",{"id":203,"slug":204,"title":205,"raw_title":11,"is_featured":12,"company":206,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":209,"processed_country_iso_code_gmaps":210,"processed_home_office":72,"processed_salary_min":212,"processed_salary_max":213,"processed_salary_currency":214,"processed_salary_source":25,"processed_working_hours":215,"processed_employment_types":28,"processed_it_skills":216,"processed_it_skills_labels":217,"processed_job_expertise_skills":230,"processed_job_expertise_skills_labels":231,"max_cpc":60,"actual_cpc":60},86155,"vice-president-data-engineering-ocbc-bank-hong-kong-limited","Vice President, Data Engineering",{"name":207,"slug":208,"logo_url":11},"OCBC Bank (Hong Kong) Limited","ocbc-bank-hong-kong-limited",[],[211],"HK",1200000,1800000,"HKD",[27],{"sql":32,"hdfs":32,"hive":32,"java":32,"yarn":32,"ci\u002Fcd":32,"hbase":32,"scala":32,"sqoop":32,"devops":32,"hadoop":32,"python":32,"dataops":32,"data lake":32,"apache spark":32,"orchestration":32,"cloud platforms":32,"containerization":32,"infrastructure as code":32},[35,218,219,80,220,221,222,79,37,38,40,42,223,224,225,226,227,228,229],"HDFS","YARN","HBase","Sqoop","Apache Spark","Infrastructure as Code","Containerization","Orchestration","Data Lake","Cloud Platforms","DataOps","DevOps",{"audit":32,"big data":32,"compliance":32,"data quality":32,"data modelling":32,"ai\u002Fml workloads":32,"data governance":32,"risk management":32,"data engineering":32,"data integration":32,"metadata management":32,"regulatory reporting":32,"solution architecture":32,"data platform engineering":32},[87,232,48,233,234,235,236,237,238,239,147,55,240,241],"Data Platform Engineering","Solution Architecture","Data Integration","Data Governance","Metadata Management","Data Quality","Data Modelling","Regulatory Reporting","Audit","AI\u002FML Workloads",{"id":243,"slug":244,"title":245,"raw_title":11,"is_featured":12,"company":246,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":249,"processed_country_iso_code_gmaps":251,"processed_home_office":21,"processed_salary_min":252,"processed_salary_max":253,"processed_salary_currency":177,"processed_salary_source":25,"processed_working_hours":254,"processed_employment_types":28,"processed_it_skills":255,"processed_it_skills_labels":256,"processed_job_expertise_skills":271,"processed_job_expertise_skills_labels":272,"max_cpc":60,"actual_cpc":60},84125,"data-engineer-investments-ia-financial-services-inc","Data Engineer, Investments",{"name":247,"slug":248,"logo_url":11},"IA Financial Services Inc.","ia-financial-services-inc",[250],"Québec",[174],90000,130000,[27],{"iam":31,"ci\u002Fcd":31,"mlops":30,"spark":31,"github":31,"hadoop":30,"dataops":31,"etl\u002Felt":32,"prefect":32,"bigquery":32,"dataproc":31,"cloud run":31,"terraform":31,"cloud storage":31,"data modeling":32,"data security":31,"microservices":31,"github actions":31,"data governance":31,"cloud workstations":30,"google cloud platform":32,"infrastructure as code":31},[257,258,259,260,261,262,263,264,265,266,34,35,142,267,42,223,140,268,235,269,270,228],"Google Cloud Platform","BigQuery","Cloud Storage","Dataproc","Cloud Run","Cloud Workstations","Prefect","GitHub","GitHub Actions","Terraform","ETL\u002FELT","IAM","Data Security","MLOps",{"devops":31,"dataops":31,"automation":32,"data quality":31,"orchestration":32,"financial data":30,"data governance":31,"investment data":30,"data engineering":32,"data traceability":31,"agile methodologies":31,"data pipeline design":32,"data pipeline development":32,"data pipeline maintenance":32,"data lakehouse architecture":31},[87,273,94,274,275,225,276,229,228,237,277,235,278,279,50],"Data Pipeline Design","Data Pipeline Maintenance","Data Lakehouse Architecture","Automation","Data Traceability","Investment Data","Financial Data",{"id":281,"slug":282,"title":283,"raw_title":11,"is_featured":12,"company":284,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":287,"processed_country_iso_code_gmaps":288,"processed_home_office":72,"processed_salary_min":252,"processed_salary_max":290,"processed_salary_currency":291,"processed_salary_source":25,"processed_working_hours":292,"processed_employment_types":28,"processed_it_skills":293,"processed_it_skills_labels":294,"processed_job_expertise_skills":298,"processed_job_expertise_skills_labels":299,"max_cpc":60,"actual_cpc":60},86218,"data-scientist-ai-lab-ocbc-bank-2","Data Scientist, AI Lab",{"name":285,"slug":286,"logo_url":11},"OCBC Bank","ocbc-bank",[],[289],"SG",150000,"SGD",[27],{"sql":31,"hadoop":30,"python":32,"pytorch":31,"tensorflow":31,"apache spark":30,"scikit-learn":31},[79,295,296,297,40,35,222],"TensorFlow","PyTorch","scikit-learn",{"mlops":31,"agentic ai":31,"data science":32,"storytelling":31,"deep learning":31,"generative ai":31,"cloud computing":31,"machine learning":32,"data visualization":31,"big data technologies":30,"reinforcement learning":31,"natural language processing":31,"retrieval-augmented generation":31},[300,301,302,303,304,305,306,307,308,309,270,310,311],"Data Science","Machine Learning","Deep Learning","Natural Language Processing","Reinforcement Learning","Generative AI","Retrieval-Augmented Generation","Agentic AI","Data Visualization","Storytelling","Cloud Computing","Big Data Technologies",{"id":313,"slug":314,"title":315,"raw_title":11,"is_featured":12,"company":316,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":319,"processed_country_iso_code_gmaps":321,"processed_home_office":21,"processed_salary_min":323,"processed_salary_max":324,"processed_salary_currency":325,"processed_salary_source":25,"processed_working_hours":326,"processed_employment_types":28,"processed_it_skills":327,"processed_it_skills_labels":328,"processed_job_expertise_skills":356,"processed_job_expertise_skills_labels":357,"max_cpc":60,"actual_cpc":60},83103,"lead-engineer-vp-f337-deutsche-india-private-limited-pune-branch","Lead Engineer, VP",{"name":317,"slug":318,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[320],"Pune",[322],"IN",4000000,6000000,"INR",[27],{"aws":31,"bdd":32,"gcp":32,"jms":31,"sre":31,"tdd":32,"xml":32,"java":32,"json":32,"yaml":32,"azure":31,"kafka":32,"hadoop":31,"ibm mq":31,"oracle":32,"pl\u002Fsql":32,"mongodb":31,"parquet":31,"pub-sub":32,"ai tools":31,"rabbitmq":31,"rest api":32,"data mesh":31,"openshift":32,"kubernetes":32,"spring boot":32,"apache spark":31,"microservices":32,"stress testing":31,"ci\u002Fcd pipelines":32,"contract testing":31,"integration patterns":32},[38,329,330,113,331,222,35,332,333,334,335,336,337,338,339,340,341,342,343,140,344,345,346,347,348,349,350,351,352,353,354,355],"Spring Boot","REST API","PL\u002FSQL","MongoDB","CI\u002FCD pipelines","Kubernetes","OpenShift","RabbitMQ","IBM MQ","JMS","Kafka","Pub-sub","GCP","AWS","Azure","Data mesh","Integration patterns","SRE","TDD","BDD","Stress Testing","Contract Testing","JSON","XML","YAML","Parquet","AI tools",{"api design":32,"data formats":32,"design patterns":32,"change management":31,"big data processing":31,"incident management":31,"production operations":31,"full stack development":32,"distributed architecture":32,"cloud native architecture":32,"large-scale system design":32,"multi-tiered architecture":32},[358,359,360,361,362,363,364,365,366,367,368,369],"Full stack development","Cloud Native Architecture","Design Patterns","Big data processing","Distributed architecture","Multi-tiered architecture","Change Management","Incident Management","Production Operations","Large-scale system design","API design","Data formats",{"id":371,"slug":372,"title":373,"raw_title":11,"is_featured":12,"company":374,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":375,"processed_country_iso_code_gmaps":376,"processed_home_office":72,"processed_salary_min":377,"processed_salary_max":378,"processed_salary_currency":291,"processed_salary_source":25,"processed_working_hours":379,"processed_employment_types":380,"processed_it_skills":381,"processed_it_skills_labels":382,"processed_job_expertise_skills":386,"processed_job_expertise_skills_labels":387,"max_cpc":60,"actual_cpc":60},86275,"internship-group-finance-treasury-financial-control-advisory-business-solutions-control-dec26-to-jun27-ocbc-bank","Internship: Group Finance, Treasury Financial Control & Advisory, Business Solutions & Control [Dec26 to Jun27]",{"name":285,"slug":286,"logo_url":11},[],[289],12000,24000,[27],"student",{"sql":31,"hadoop":30,"python":31,"power bi":30,"qlikview":30,"starburst":30,"machine learning":30},[79,40,35,301,383,384,385],"StarBurst","Power BI","QlikView",{"data analytics":31,"change management":30,"financial markets":30,"treasury products":30,"control monitoring":30,"project management":30,"trade surveillance":30,"trading activities":30,"digital transformation":30,"internal controls review":30},[388,389,390,391,392,393,158,364,394,395],"Financial Markets","Treasury Products","Trading Activities","Control Monitoring","Trade Surveillance","Internal Controls Review","Digital Transformation","Data Analytics",{"id":397,"slug":398,"title":315,"raw_title":11,"is_featured":12,"company":399,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":400,"processed_country_iso_code_gmaps":401,"processed_home_office":21,"processed_salary_min":323,"processed_salary_max":324,"processed_salary_currency":325,"processed_salary_source":25,"processed_working_hours":402,"processed_employment_types":28,"processed_it_skills":403,"processed_it_skills_labels":404,"processed_job_expertise_skills":405,"processed_job_expertise_skills_labels":406,"max_cpc":60,"actual_cpc":60},83104,"lead-engineer-vp-f337-deutsche-india-private-limited-pune-branch-2",{"name":317,"slug":318,"logo_url":11},[320],[322],[27],{"aws":31,"bdd":32,"gcp":32,"jms":31,"sre":31,"tdd":32,"xml":32,"java":32,"json":32,"yaml":32,"azure":31,"kafka":32,"hadoop":31,"ibm mq":31,"oracle":32,"pl\u002Fsql":32,"mongodb":31,"parquet":32,"pub-sub":32,"ai tools":31,"rabbitmq":31,"rest api":32,"data mesh":31,"openshift":32,"kubernetes":32,"spring boot":32,"apache spark":31,"microservices":32,"stress testing":32,"ci\u002Fcd pipelines":32,"contract testing":32,"integration patterns":32},[38,329,330,113,331,222,35,332,333,334,335,336,337,338,339,340,341,342,343,140,344,345,346,347,348,349,350,351,352,353,354,355],{"api design":32,"data formats":32,"design patterns":32,"change management":31,"big data processing":31,"incident management":31,"ai productivity tools":31,"production operations":31,"full stack development":32,"distributed architecture":32,"cloud native architecture":32,"large-scale system design":32,"multi-tiered architecture":32},[358,359,360,361,362,363,364,365,366,367,368,369,407],"AI productivity tools",{"id":409,"slug":410,"title":411,"raw_title":11,"is_featured":12,"company":412,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":413,"processed_country_iso_code_gmaps":414,"processed_home_office":72,"processed_salary_min":415,"processed_salary_max":416,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":417,"processed_employment_types":28,"processed_it_skills":418,"processed_it_skills_labels":419,"processed_job_expertise_skills":424,"processed_job_expertise_skills_labels":425,"max_cpc":60,"actual_cpc":60},70489,"machine-learning-engineer-bank-of-montreal","Machine Learning Engineer",{"name":169,"slug":170,"logo_url":11},[172],[174],80000,175000,[27],{"aws":31,"git":31,"sql":31,"azure":31,"keras":32,"docker":31,"hadoop":31,"python":32,"jenkins":31,"pytorch":32,"kubernetes":31,"tensorflow":32,"apache spark":31,"scikit-learn":32,"google cloud platform":31},[79,40,295,296,420,421,222,35,422,334,423,119,342,343,257],"Scikit-learn","Keras","Docker","Jenkins",{"statistics":31,"mathematics":31,"programming":32,"deep learning":32,"ml algorithms":32,"scaling models":32,"machine learning":32,"operations research":31,"computational thinking":32,"continuous integration and continuous delivery\u002Fdeployment":32},[426,427,428,302,301,429,430,431,432,433],"Mathematics","Statistics","Operations Research","Scaling Models","Continuous Integration and Continuous Delivery\u002FDeployment","ML Algorithms","Computational Thinking","Programming",{"id":435,"slug":436,"title":437,"raw_title":11,"is_featured":12,"company":438,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":442,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":444,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":445,"processed_employment_types":28,"processed_it_skills":446,"processed_it_skills_labels":447,"processed_job_expertise_skills":459,"processed_job_expertise_skills_labels":460,"max_cpc":60,"actual_cpc":60},69430,"data-engineering-associate-ii-3-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-3",{"name":439,"slug":440,"logo_url":11},"BANCO PROVINCIAL, S.A.","banco-provincial-sa",[],[443],"Venezuela",50000,[27],{"aws":31,"git":31,"sql":32,"bash":31,"hdfs":31,"linux":31,"docker":31,"hadoop":31,"podman":31,"python":32,"aws iam":31,"etl\u002Felt":32,"pyspark":32,"big data":31,"amazon s3":31,"amazon emr":31,"aws lambda":31,"amazon glue":31,"apache spark":32,"amazon athena":31,"amazon sagemaker":31},[79,448,222,40,267,35,218,48,119,449,450,422,451,342,452,453,454,455,456,457,458],"PySpark","Linux","Bash","Podman","Amazon S3","Amazon Athena","Amazon Glue","Amazon EMR","AWS Lambda","AWS IAM","Amazon SageMaker",{"data quality":31,"data modeling":31,"data security":31,"data governance":31,"data traceability":31,"process automation":31,"database optimization":31},[237,235,269,277,142,461,462],"Database Optimization","Process Automation",{"id":464,"slug":465,"title":466,"raw_title":11,"is_featured":12,"company":467,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":470,"processed_country_iso_code_gmaps":472,"processed_home_office":72,"processed_salary_min":176,"processed_salary_max":473,"processed_salary_currency":291,"processed_salary_source":25,"processed_working_hours":474,"processed_employment_types":28,"processed_it_skills":475,"processed_it_skills_labels":476,"processed_job_expertise_skills":479,"processed_job_expertise_skills_labels":480,"max_cpc":60,"actual_cpc":60},79240,"fvpvp-data-analytics-group-wholesale-banking-united-overseas-bank-ltd","FVP\u002FVP, Data Analytics, Group Wholesale Banking",{"name":468,"slug":469,"logo_url":11},"United Overseas Bank Ltd","united-overseas-bank-ltd",[471],"Singapore",[289],180000,[27],{"r":32,"sas":32,"spark":32,"hadoop":32,"python":32,"machine learning":32,"operations research":32,"natural language processing":32},[79,477,478,35,34,301,303,428],"SAS","R",{"consulting":30,"data science":32,"data analytics":32,"strategic analysis":32,"stakeholder management":32,"financial industry knowledge":31},[395,300,481,482,483,484],"Financial Industry Knowledge","Consulting","Strategic Analysis","Stakeholder Management",{"id":486,"slug":487,"title":488,"raw_title":11,"is_featured":12,"company":489,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":490,"processed_country_iso_code_gmaps":491,"processed_home_office":72,"processed_salary_min":492,"processed_salary_max":290,"processed_salary_currency":177,"processed_salary_source":25,"processed_working_hours":493,"processed_employment_types":28,"processed_it_skills":494,"processed_it_skills_labels":495,"processed_job_expertise_skills":497,"processed_job_expertise_skills_labels":498,"max_cpc":60,"actual_cpc":60},70549,"senior-data-engineer-bank-of-montreal","Senior Data Engineer",{"name":169,"slug":170,"logo_url":11},[172],[174],70000,[27],{"sql":32,"jira":31,"ssis":31,"genai":31,"nosql":32,"scala":32,"spark":32,"hadoop":31,"python":32,"etl\u002Felt":32,"netezza":31,"aws glue":31,"ai concepts":31,"data warehousing":32,"prompt engineering":31,"ai-powered tools in sdlc":31,"retrieval-augmented generation (rag)":31,"cloud storage and computing services (aws, azure)":31},[40,41,79,34,37,115,181,182,35,183,83,267,185,186,187,188,189,496],"AI-powered Tools in SDLC",{"data mapping":32,"data analysis":32,"agile delivery":32,"data profiling":32,"technical design":32,"regression testing":32,"process improvement":32,"automation scripting":32,"reusable code development":32},[193,194,195,196,198,199,197,200,499],"Reusable Code Development",{"id":501,"slug":502,"title":503,"raw_title":11,"is_featured":12,"company":504,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":507,"processed_country_iso_code_gmaps":509,"processed_home_office":72,"processed_salary_min":510,"processed_salary_max":511,"processed_salary_currency":325,"processed_salary_source":25,"processed_working_hours":512,"processed_employment_types":28,"processed_it_skills":513,"processed_it_skills_labels":514,"processed_job_expertise_skills":521,"processed_job_expertise_skills_labels":522,"max_cpc":60,"actual_cpc":60},78796,"data-ai-engineering-professionals-data-engineering-analytics-aiml-reliability-engineering-hartford-global-services-private-limited","Data & AI Engineering Professionals (Data Engineering, Analytics, AI\u002FML & Reliability Engineering)",{"name":505,"slug":506,"logo_url":11},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[508],"Hyderabad",[322],800000,3000000,[27],{"aws":31,"emr":31,"gcp":31,"rag":31,"sql":31,"sre":31,"hadoop":31,"python":31,"etl\u002Felt":31,"fastapi":31,"pyspark":31,"pytorch":31,"snowflake":31,"terraform":31,"vertex ai":31,"databricks":31,"informatica":31,"scikit-learn":31},[448,515,516,267,341,342,517,518,40,79,346,116,519,35,520,420,296,266],"Snowflake","Databricks","RAG","Vertex AI","EMR","FastAPI",{"ai\u002Fml":31,"applied ai":31,"data analysis":31,"generative ai":31,"ml\u002Fai platforms":31,"data engineering":31,"data reliability":31,"machine learning":31,"big data platforms":31,"agentic ai solutions":31,"statistical modelling":31,"platform administration":31,"site reliability engineering":31},[87,193,523,524,525,526,305,527,528,529,301,530,531],"Data Reliability","Big Data Platforms","Platform Administration","AI\u002FML","Agentic AI Solutions","Applied AI","Statistical Modelling","Site Reliability Engineering","ML\u002FAI Platforms",{"id":533,"slug":534,"title":535,"raw_title":11,"is_featured":12,"company":536,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":537,"processed_country_iso_code_gmaps":538,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":444,"processed_salary_currency":539,"processed_salary_source":25,"processed_working_hours":540,"processed_employment_types":28,"processed_it_skills":541,"processed_it_skills_labels":542,"processed_job_expertise_skills":550,"processed_job_expertise_skills_labels":551,"max_cpc":60,"actual_cpc":60},69429,"data-engineering-associate-ii-4-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-4",{"name":439,"slug":440,"logo_url":11},[],[443],"EUR",[27],{"git":31,"sql":32,"hdfs":31,"linux":31,"aws s3":31,"docker":31,"hadoop":31,"podman":31,"python":32,"aws emr":31,"aws iam":31,"pyspark":32,"aws glue":31,"aws athena":31,"aws lambda":31,"apache spark":32,"aws sagemaker":31,"bash scripting":31,"etl\u002Felt pipelines":32,"big data ecosystems":31},[79,448,222,40,543,35,218,544,119,449,545,422,451,546,547,181,548,456,457,549],"ETL\u002FELT Pipelines","Big Data Ecosystems","Bash Scripting","AWS S3","AWS Athena","AWS EMR","AWS SageMaker",{"data security":31,"api consumption":31,"data governance":31,"data traceability":31,"process automation":31,"data quality management":31},[95,235,269,277,552,462],"API Consumption",{"id":554,"slug":555,"title":556,"raw_title":11,"is_featured":12,"company":557,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":558,"processed_country_iso_code_gmaps":559,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":444,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":560,"processed_employment_types":28,"processed_it_skills":561,"processed_it_skills_labels":562,"processed_job_expertise_skills":563,"processed_job_expertise_skills_labels":564,"max_cpc":60,"actual_cpc":60},69431,"data-engineering-associate-ii-5-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-5",{"name":439,"slug":440,"logo_url":11},[],[443],[27],{"git":31,"sql":32,"hdfs":31,"linux":31,"aws s3":31,"docker":31,"hadoop":31,"podman":31,"python":32,"aws emr":31,"aws iam":31,"etl\u002Felt":32,"pyspark":32,"aws glue":31,"aws athena":31,"aws lambda":31,"apache spark":32,"aws sagemaker":31,"bash scripting":31,"big data ecosystems":31},[79,448,222,40,267,35,218,544,119,449,545,422,451,546,547,181,548,456,457,549],{"data security":31,"data ingestion":32,"api consumption":31,"data governance":31,"data availability":32,"data traceability":31,"database modeling":31,"data transformation":32,"data pipeline design":32,"database optimization":31,"distributed processing":32,"data quality management":31,"data pipeline automation":32,"data pipeline maintenance":32},[95,235,269,277,273,565,274,566,567,568,552,569,570,461],"Data Pipeline Automation","Data Ingestion","Data Transformation","Data Availability","Distributed Processing","Database Modeling",{"id":572,"slug":573,"title":574,"raw_title":11,"is_featured":12,"company":575,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":576,"processed_country_iso_code_gmaps":577,"processed_home_office":72,"processed_salary_min":73,"processed_salary_max":444,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":578,"processed_employment_types":28,"processed_it_skills":579,"processed_it_skills_labels":580,"processed_job_expertise_skills":581,"processed_job_expertise_skills_labels":582,"max_cpc":60,"actual_cpc":60},69428,"data-engineering-associate-ii-2-banco-provincial-sa","DATA ENGINEERING ASSOCIATE II-2",{"name":439,"slug":440,"logo_url":11},[],[443],[27],{"aws":31,"git":31,"sql":32,"bash":31,"hdfs":31,"linux":31,"docker":31,"hadoop":31,"podman":31,"python":32,"aws iam":31,"etl\u002Felt":32,"pyspark":32,"aws glue":31,"big data":31,"amazon s3":31,"amazon emr":31,"aws lambda":31,"apache spark":32,"amazon athena":31,"amazon sagemaker":31},[79,448,222,40,267,35,218,48,119,449,450,422,451,342,452,453,181,455,456,457,458],{"data security":31,"data governance":31,"data traceability":31,"data quality management":31},[95,235,269,277],{"id":584,"slug":585,"title":586,"raw_title":11,"is_featured":12,"company":587,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":590,"processed_country_iso_code_gmaps":592,"processed_home_office":21,"processed_salary_min":73,"processed_salary_max":444,"processed_salary_currency":539,"processed_salary_source":25,"processed_working_hours":594,"processed_employment_types":28,"processed_it_skills":595,"processed_it_skills_labels":596,"processed_job_expertise_skills":603,"processed_job_expertise_skills_labels":604,"max_cpc":60,"actual_cpc":60},82821,"senior-oracle-developer-fmx-f063-db-global-technology-srl","Senior Oracle Developer (f\u002Fm\u002Fx)",{"name":588,"slug":589,"logo_url":11},"F063 DB Global Technology SRL","f063-db-global-technology-srl",[591],"Bukarest",[593],"RO",[27],{"java":32,"jira":31,"ci\u002Fcd":31,"scala":30,"spark":30,"hadoop":30,"ai tools":30,"git flow":31,"oracle pl\u002Fsql":32,"agile methodologies":31,"big data technologies":30,"test driven development":31,"continuous integration (teamcity)":31},[597,38,598,599,600,83,601,35,34,602,37,42,355],"Oracle PL\u002FSQL","Continuous Integration (TeamCity)","Test Driven Development","Agile methodologies","Git Flow","Big Data technologies",{"devops":31,"automation":31,"etl testing":31,"data modeling":32,"etl development":32,"data warehousing":32,"defect management":31,"quality assurance":31,"performance tuning":32,"architectural design":31,"business intelligence":32,"software development lifecycle":32,"financial domain knowledge (liquidity, funding, capital, collateral management)":31},[185,605,606,607,608,609,610,611,612,229,276,613,614],"Business Intelligence","ETL development","Data modeling","Performance tuning","Quality assurance","ETL testing","Defect management","Software development lifecycle","Architectural design","Financial domain knowledge (liquidity, funding, capital, collateral management)",{"id":616,"slug":617,"title":618,"raw_title":11,"is_featured":12,"company":619,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":620,"processed_country_iso_code_gmaps":621,"processed_home_office":72,"processed_salary_min":175,"processed_salary_max":176,"processed_salary_currency":75,"processed_salary_source":25,"processed_working_hours":622,"processed_employment_types":28,"processed_it_skills":623,"processed_it_skills_labels":624,"processed_job_expertise_skills":626,"processed_job_expertise_skills_labels":627,"max_cpc":60,"actual_cpc":638},70452,"developer-data-ai-platform-support-bank-of-montreal","Developer - Data, AI, Platform & Support",{"name":169,"slug":170,"logo_url":11},[172],[174],[27],{"sql":31,"jira":31,"ssis":31,"nosql":31,"scala":31,"spark":31,"hadoop":31,"python":31,"netezza":31,"pyspark":31,"aws glue":31,"cloud storage and computing services (aws, azure)":31},[40,41,79,34,448,37,115,181,625,35,183,83],"Cloud storage and computing services (AWS, Azure)",{"ai concepts":31,"data mapping":31,"data analysis":31,"data modeling":31,"generative ai":31,"agile delivery":31,"data profiling":31,"prompt engineering":31,"ai-powered tools in sdlc":31,"data warehousing concepts":31,"etl\u002Felt development and testing":31,"retrieval-augmented generation (rag)":31},[628,629,630,607,631,632,633,305,634,635,636,637],"ETL\u002FELT development and testing","Data warehousing concepts","Data analysis","Data mapping","Data profiling","AI concepts","Prompt engineering","Retrieval-augmented generation (RAG)","AI-powered tools in SDLC","Agile delivery",0.5,{"industry":640,"employment_type":653,"expertise_skills":659,"it_skills":723,"salary_currency":785,"processed_working_hours":801},[641,645,649],{"key":642,"label":643,"count":644},"financial services","Financial Services",33,{"key":646,"label":647,"count":648},"banking","Banking",32,{"key":650,"label":651,"count":652},"insurance","Insurance",7,[654,657],{"key":28,"label":655,"count":656},"PERMANENT",51,{"key":380,"label":658,"count":30},"STUDENT",[660,663,666,669,671,675,678,682,684,687,689,691,693,696,700,703,705,708,710,712,714,716,718,720],{"key":661,"label":301,"slug":661,"count":662},"machine-learning",16,{"key":664,"label":87,"slug":664,"count":665},"data-engineering",15,{"key":667,"label":235,"slug":667,"count":668},"data-governance",13,{"key":670,"label":193,"slug":670,"count":668},"data-analysis",{"key":672,"label":673,"slug":672,"count":674},"project-management","Project management",10,{"key":676,"label":142,"slug":676,"count":677},"data-modeling",9,{"key":679,"label":680,"slug":679,"count":681},"generative-ai","Generative Ai",8,{"key":683,"label":147,"slug":683,"count":652},"risk-management",{"key":685,"label":269,"slug":685,"count":686},"data-security",6,{"key":688,"label":300,"slug":688,"count":686},"data-science",{"key":690,"label":277,"slug":690,"count":686},"data-traceability",{"key":692,"label":50,"slug":692,"count":686},"agile-methodologies",{"key":694,"label":695,"slug":694,"count":686},"model-deployment","Model Deployment",{"key":697,"label":698,"slug":697,"count":699},"etl","Etl",5,{"key":701,"label":702,"slug":701,"count":699},"data-mining","Data Mining",{"key":704,"label":395,"slug":704,"count":699},"data-analytics",{"key":706,"label":707,"slug":706,"count":699},"mlops","Mlops",{"key":709,"label":302,"slug":709,"count":699},"deep-learning",{"key":711,"label":308,"slug":711,"count":699},"data-visualization",{"key":713,"label":194,"slug":713,"count":699},"data-mapping",{"key":715,"label":95,"slug":715,"count":699},"data-quality-management",{"key":717,"label":195,"slug":717,"count":32},"data-profiling",{"key":719,"label":364,"slug":719,"count":32},"change-management",{"key":721,"label":722,"slug":721,"count":32},"regulatory-compliance","Regulatory Compliance",[724,726,729,732,735,737,739,741,743,746,749,752,755,757,759,761,763,766,769,772,774,777,779,782],{"key":725,"label":35,"slug":725,"count":5},"hadoop",{"key":727,"label":79,"slug":727,"count":728},"python",42,{"key":730,"label":40,"slug":730,"count":731},"sql",38,{"key":733,"label":34,"slug":733,"count":734},"spark",27,{"key":736,"label":222,"slug":736,"count":662},"apache-spark",{"key":738,"label":38,"slug":738,"count":662},"java",{"key":740,"label":37,"slug":740,"count":668},"scala",{"key":742,"label":80,"slug":742,"count":668},"hive",{"key":744,"label":745,"slug":744,"count":668},"aws","Aws",{"key":747,"label":422,"slug":747,"count":748},"docker",11,{"key":750,"label":751,"slug":750,"count":748},"jira","Jira",{"key":753,"label":754,"slug":753,"count":748},"cicd","Ci\u002FCd",{"key":756,"label":119,"slug":756,"count":748},"git",{"key":297,"label":758,"slug":297,"count":674},"Scikit-Learn",{"key":760,"label":339,"slug":760,"count":677},"kafka",{"key":762,"label":334,"slug":762,"count":677},"kubernetes",{"key":764,"label":765,"slug":764,"count":677},"nosql","Nosql",{"key":767,"label":768,"slug":767,"count":677},"hdfs","Hdfs",{"key":770,"label":771,"slug":770,"count":681},"tensorflow","Tensorflow",{"key":773,"label":266,"slug":773,"count":681},"terraform",{"key":775,"label":776,"slug":775,"count":681},"pyspark","Pyspark",{"key":778,"label":113,"slug":778,"count":681},"oracle",{"key":780,"label":781,"slug":780,"count":681},"etlelt","Etl\u002FElt",{"key":783,"label":784,"slug":783,"count":681},"aws-glue","Aws Glue",[786,788,790,791,792,793,795,796,797,799],{"key":291,"label":291,"count":787},14,{"key":75,"label":75,"count":789},12,{"key":177,"label":177,"count":686},{"key":539,"label":539,"count":686},{"key":325,"label":325,"count":699},{"key":794,"label":794,"count":699},"MYR",{"key":214,"label":214,"count":30},{"key":24,"label":24,"count":60},{"key":798,"label":798,"count":60},"RON",{"key":800,"label":800,"count":60},"CHF",[802],{"key":27,"label":27,"count":5},{"total":60,"jobs":804},[805],{"id":806,"slug":807,"title":808,"raw_title":11,"is_featured":809,"company":810,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":814,"processed_country_iso_code_gmaps":816,"processed_home_office":818,"processed_salary_min":819,"processed_salary_max":820,"processed_salary_currency":539,"processed_salary_source":11,"processed_working_hours":821,"processed_employment_types":655,"processed_it_skills":823,"processed_it_skills_labels":11,"processed_job_expertise_skills":824,"processed_job_expertise_skills_labels":825,"max_cpc":831,"actual_cpc":11},52265,"privatkundenbetreuer-mwd-banking-frankfurt-am-main-white-horse-international-gmbh","Privatkundenbetreuer (m\u002Fw\u002Fd) – Banking | Frankfurt am Main",true,{"name":811,"slug":812,"logo_url":813},"White Horse International GmbH","white-horse-international-gmbh","https:\u002F\u002Fwhitehorse-international.com\u002Fwp-content\u002Fuploads\u002F2022\u002F03\u002Fwhite-horse-logo-final-gif.gif",[815],"Frankfurt am Main",[817],"DE","HYBRID",45000,65000,[822],"full_time",{},{"Financial Analysis":31,"Regulatory Compliance":31,"New Customer Acquisition":31,"Private Banking Advisory":31,"Banking Products Knowledge":31,"Customer Relationship Management":31},[826,827,828,722,829,830],"Private Banking Advisory","Financial Analysis","Banking Products Knowledge","Customer Relationship Management","New Customer Acquisition",0.8]