[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-ai-tools-for-productivity-in":3,"job-search-\u002Fen-in\u002Fjobs-by-expertise\u002Fai-tools-for-productivity":4,"expertise-filters-\u002Fen-in\u002Fjobs-by-expertise\u002Fai-tools-for-productivity":137,"featured-jobs-\u002Fen-in\u002Fjobs-by-expertise\u002Fai-tools-for-productivity":271},{},{"total":5,"jobs":6},3,[7,59,103],{"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":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":31,"processed_job_expertise_skills":49,"processed_job_expertise_skills_labels":50,"max_cpc":58,"actual_cpc":58},92339,"bigdata-hadoopscala-engineer-avp-f337-deutsche-india-private-limited-pune-branch","BigData-Hadoop\u002FScala Engineer, AVP",null,false,{"name":14,"slug":15,"logo_url":11},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[17],"Pune",[19],"IN","hybrid",2000000,3500000,"INR","estimated",[26],"FULL_TIME","permanent",{"aws":29,"git":5,"java":30,"azure":29,"react":5,"scala":30,"oracle":5,"python":5,"airflow":30,"angular":5,"bigquery":30,"dataproc":30,"apache spark":30,"ci\u002Fcd pipelines":29,"devops practices":29,"unix\u002Flinux scripting":5,"google cloud platform (gcp)":30},2,4,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48],"Java","Scala","Apache Spark","Google Cloud Platform (GCP)","Airflow","Dataproc","BigQuery","Git","Angular","React","Python","Oracle","Unix\u002FLinux scripting","AWS","Azure","CI\u002FCD pipelines","DevOps practices",{"data modeling":30,"data security":29,"data governance":29,"data warehousing":30,"etl\u002Felt principles":30,"ai tools for productivity":29,"financial services industry knowledge":29},[51,52,53,54,55,56,57],"Data Warehousing","ETL\u002FELT principles","Data Modeling","Data Governance","Data Security","Financial Services Industry Knowledge","AI tools for productivity",1,{"id":60,"slug":61,"title":62,"raw_title":11,"is_featured":12,"company":63,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":64,"processed_country_iso_code_gmaps":65,"processed_home_office":20,"processed_salary_min":66,"processed_salary_max":67,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":68,"processed_employment_types":27,"processed_it_skills":69,"processed_it_skills_labels":70,"processed_job_expertise_skills":89,"processed_job_expertise_skills_labels":90,"max_cpc":58,"actual_cpc":58},83088,"service-operations-production-support-engineer-f337-deutsche-india-private-limited-pune-branch","Service Operations - Production Support Engineer",{"name":14,"slug":15,"logo_url":11},[17],[19],1500000,2500000,[26],{"gcp":5,"rpa":29,"sql":5,"apis":5,"ci\u002Fcd":5,"mssql":5,"geneos":5,"oracle":5,"python":5,"splunk":5,"grafana":5,"control-m":5,"java j2ee":5,"new relic":5,"openshift":5,"agentic ai":29,"kubernetes":5,"powershell":5,"unix\u002Flinux":5,"microservices":5},[71,72,42,73,74,43,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"UNIX\u002FLinux","Java J2EE","PowerShell","SQL","MSSQL","GCP","Geneos","Splunk","Grafana","New Relic","Control-M","Microservices","APIs","CI\u002FCD","OpenShift","Kubernetes","Agentic AI","RPA",{"automation":5,"bcp testing":5,"itil practices":30,"change management":5,"resiliency events":5,"problem management":5,"sli\u002Fslo definition":5,"incident management":30,"root cause analysis":30,"ai tools for productivity":5,"global transaction banking":29,"site reliability engineering":30,"application performance monitoring":5},[91,92,93,94,95,96,97,98,99,100,101,102,57],"ITIL practices","Site Reliability Engineering","SLI\u002FSLO definition","Incident management","Root cause analysis","Change management","Problem management","Application performance monitoring","Automation","Global Transaction Banking","BCP testing","Resiliency events",{"id":104,"slug":105,"title":106,"raw_title":11,"is_featured":12,"company":107,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":110,"processed_country_iso_code_gmaps":111,"processed_home_office":20,"processed_salary_min":112,"processed_salary_max":113,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":114,"processed_employment_types":27,"processed_it_skills":115,"processed_it_skills_labels":116,"processed_job_expertise_skills":121,"processed_job_expertise_skills_labels":122,"max_cpc":58,"actual_cpc":136},83090,"dws-senior-risk-analyst-model-validation-e902-dws-india-private-limited-maharashtra-branch","DWS Senior Risk Analyst – Model Validation",{"name":108,"slug":109,"logo_url":11},"E902 DWS India Private Limited, Maharashtra Branch","e902-dws-india-private-limited-maharashtra-branch",[17],[19],3000000,5000000,[26],{"r":5,"c++":30,"sas":5,"sql":5,"matlab":5,"python":30},[117,74,118,119,42,120],"R","C++","SAS","MATLAB",{"backtesting":5,"capital markets":30,"risk management":30,"model validation":30,"portfolio theory":30,"model development":30,"valuation methods":30,"regulatory guidance":5,"technical documentation":30,"benchmark model building":5,"ai tools for productivity":5,"quantitative risk management":30,"asset classes (fx, rates, equities)":30},[123,124,125,126,127,128,129,130,131,132,133,134,135],"Quantitative Risk Management","Model Validation","Model Development","Valuation Methods","Capital Markets","Portfolio Theory","Risk Management","Asset Classes (FX, Rates, Equities)","Regulatory Guidance","Backtesting","Benchmark Model Building","Technical Documentation","AI Tools for Productivity",0.3,{"industry":138,"employment_type":145,"expertise_skills":148,"it_skills":206,"salary_currency":267,"processed_working_hours":269},[139,142],{"key":140,"label":141,"count":29},"financial services","Financial Services",{"key":143,"label":144,"count":58},"asset management","Asset Management",[146],{"key":27,"label":147,"count":5},"PERMANENT",[149,152,154,157,159,161,164,166,168,171,173,175,178,181,183,185,187,189,191,193,196,198,201,204],{"key":150,"label":151,"slug":150,"count":5},"ai-tools-for-productivity","Ai Tools For Productivity",{"key":153,"label":133,"slug":153,"count":58},"benchmark-model-building",{"key":155,"label":156,"slug":155,"count":58},"slislo-definition","Sli\u002FSlo Definition",{"key":158,"label":51,"slug":158,"count":58},"data-warehousing",{"key":160,"label":128,"slug":160,"count":58},"portfolio-theory",{"key":162,"label":163,"slug":162,"count":58},"resiliency-events","Resiliency Events",{"key":165,"label":127,"slug":165,"count":58},"capital-markets",{"key":167,"label":54,"slug":167,"count":58},"data-governance",{"key":169,"label":170,"slug":169,"count":58},"change-management","Change Management",{"key":172,"label":56,"slug":172,"count":58},"financial-services-industry-knowledge",{"key":174,"label":129,"slug":174,"count":58},"risk-management",{"key":176,"label":177,"slug":176,"count":58},"application-performance-monitoring","Application Performance Monitoring",{"key":179,"label":180,"slug":179,"count":58},"incident-management","Incident Management",{"key":182,"label":126,"slug":182,"count":58},"valuation-methods",{"key":184,"label":55,"slug":184,"count":58},"data-security",{"key":186,"label":53,"slug":186,"count":58},"data-modeling",{"key":188,"label":132,"slug":188,"count":58},"backtesting",{"key":190,"label":124,"slug":190,"count":58},"model-validation",{"key":192,"label":123,"slug":192,"count":58},"quantitative-risk-management",{"key":194,"label":195,"slug":194,"count":58},"etlelt-principles","Etl\u002FElt Principles",{"key":197,"label":134,"slug":197,"count":58},"technical-documentation",{"key":199,"label":200,"slug":199,"count":58},"itil-practices","Itil Practices",{"key":202,"label":203,"slug":202,"count":58},"root-cause-analysis","Root Cause Analysis",{"key":205,"label":100,"slug":205,"count":58},"global-transaction-banking",[207,209,211,213,215,217,220,222,225,228,230,232,235,238,240,243,245,248,251,253,256,258,261,264],{"key":208,"label":42,"slug":208,"count":5},"python",{"key":210,"label":74,"slug":210,"count":29},"sql",{"key":212,"label":43,"slug":212,"count":29},"oracle",{"key":214,"label":117,"slug":214,"count":58},"r",{"key":216,"label":81,"slug":216,"count":58},"control-m",{"key":218,"label":219,"slug":218,"count":58},"mssql","Mssql",{"key":221,"label":41,"slug":221,"count":58},"react",{"key":223,"label":224,"slug":223,"count":58},"cicd-pipelines","Ci\u002FCd Pipelines",{"key":226,"label":227,"slug":226,"count":58},"openshift","Openshift",{"key":229,"label":39,"slug":229,"count":58},"git",{"key":231,"label":79,"slug":231,"count":58},"grafana",{"key":233,"label":234,"slug":233,"count":58},"bigquery","Bigquery",{"key":236,"label":237,"slug":236,"count":58},"java-j2ee","Java J2Ee",{"key":239,"label":32,"slug":239,"count":58},"java",{"key":241,"label":242,"slug":241,"count":58},"aws","Aws",{"key":244,"label":86,"slug":244,"count":58},"kubernetes",{"key":246,"label":247,"slug":246,"count":58},"devops-practices","Devops Practices",{"key":249,"label":250,"slug":249,"count":58},"agentic-ai","Agentic Ai",{"key":252,"label":36,"slug":252,"count":58},"airflow",{"key":254,"label":255,"slug":254,"count":58},"apis","Apis",{"key":257,"label":118,"slug":257,"count":58},"c",{"key":259,"label":260,"slug":259,"count":58},"ms-azure","MS Azure",{"key":262,"label":263,"slug":262,"count":58},"unixlinux-scripting","Unix\u002FLinux Scripting",{"key":265,"label":266,"slug":265,"count":58},"unixlinux","Unix\u002FLinux",[268],{"key":23,"label":23,"count":5},[270],{"key":26,"label":26,"count":5},{"total":272,"jobs":273},0,[]]