[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-query-optimization-in":3,"job-search-\u002Fde-in\u002Fjobs-by-expertise\u002Fquery-optimization":4,"expertise-filters-\u002Fde-in\u002Fjobs-by-expertise\u002Fquery-optimization":329,"featured-jobs-\u002Fde-in\u002Fjobs-by-expertise\u002Fquery-optimization":468},{},{"total":5,"jobs":6},7,[7,108,142,189,243,271,298],{"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":81,"processed_job_expertise_skills_labels":82,"max_cpc":107,"actual_cpc":107},83099,"gcp-full-stack-data-ai-engineer-as-f337-deutsche-india-private-limited-pune-branch","GCP Full-Stack Data & AI Engineer, AS",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",{"git":29,"iam":29,"jwt":29,"sql":29,"cors":29,"ci\u002Fcd":29,"flask":29,"owasp":29,"react":29,"docker":29,"pytest":29,"python":29,"angular":29,"fastapi":29,"postman":29,"pub\u002Fsub":30,"bigquery":29,"cloud run":29,"cloud sql":30,"firestore":30,"oauth 2.0":29,"rest apis":29,"terraform":29,"embeddings":29,"guardrails":30,"javascript":29,"typescript":29,"cloud build":29,"memorystore":30,"api gateways":29,"cloud storage":29,"dialogflow cx":29,"gemini models":29,"rate limiting":29,"apache airflow":30,"cloud composer":30,"openid connect":29,"secret manager":29,"cx agent studio":29,"human oversight":30,"input validation":29,"vector databases":29,"artifact registry":29,"secrets management":29,"google cloud platform":29,"google cloud operations":29,"agent-to-agent protocols":30,"multi-agent orchestration":30,"google agent development kit (adk)":29},4,3,[32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80],"Python","SQL","JavaScript","TypeScript","React","Angular","FastAPI","Flask","REST APIs","Google Cloud Platform","Cloud Run","BigQuery","Cloud Storage","Secret Manager","Cloud Composer","Apache Airflow","Pub\u002FSub","Cloud SQL","Firestore","Memorystore","Git","Docker","Terraform","Artifact Registry","Cloud Build","CI\u002FCD","OAuth 2.0","OpenID Connect","JWT","IAM","API gateways","CORS","rate limiting","secrets management","input validation","OWASP","Postman","Pytest","Google Cloud Operations","Gemini models","embeddings","vector databases","Dialogflow CX","CX Agent Studio","Google Agent Development Kit (ADK)","multi-agent orchestration","agent-to-agent protocols","guardrails","human oversight",{"devops":29,"agentic ai":29,"data lineage":29,"data quality":29,"generative ai":29,"orchestration":29,"ai engineering":29,"data modelling":29,"responsible ai":29,"data governance":29,"data engineering":29,"capacity planning":29,"incident response":29,"secure publishing":29,"cloud architecture":29,"query optimization":29,"architecture design":29,"quality engineering":29,"security engineering":29,"software engineering":29,"full-stack development":29,"technical documentation":29,"operations & reliability":29,"batch and streaming design":29},[83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106],"Software Engineering","Full-Stack Development","Data Engineering","AI Engineering","Cloud Architecture","DevOps","Quality Engineering","Security Engineering","Operations & Reliability","Generative AI","Agentic AI","Technical Documentation","Architecture Design","Incident Response","Capacity Planning","Data Modelling","Batch and Streaming Design","Orchestration","Data Quality","Data Lineage","Data Governance","Query Optimization","Secure Publishing","Responsible AI",1,{"id":109,"slug":110,"title":111,"raw_title":11,"is_featured":12,"company":112,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":113,"processed_country_iso_code_gmaps":114,"processed_home_office":20,"processed_salary_min":115,"processed_salary_max":116,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":117,"processed_employment_types":27,"processed_it_skills":118,"processed_it_skills_labels":119,"processed_job_expertise_skills":125,"processed_job_expertise_skills_labels":126,"max_cpc":107,"actual_cpc":107},83098,"gcp-data-and-ai-engineer-avp-f337-deutsche-india-private-limited-pune-branch","GCP Data and AI Engineer, AVP",{"name":14,"slug":15,"logo_url":11},[17],[19],3000000,5000000,[26],{"aws":30,"gcp":29,"sql":29,"azure":30,"ci\u002Fcd":29,"docker":29,"python":29,"pub\u002Fsub":29,"bigquery":29,"cloud run":29,"rest apis":29,"terraform":29,"vertex ai":29,"cloud build":29,"dialogflow cx":29,"apache airflow":29,"cloud composer":29,"artifact registry":29,"gemini enterprise agent platform":29,"google agent development kit (adk)":29},[32,33,120,43,46,47,42,54,57,56,55,53,40,121,74,122,76,48,123,124],"GCP","Vertex AI","Gemini Enterprise Agent Platform","Azure","AWS",{"llms":29,"agentops":29,"etl testing":29,"rag systems":29,"data modeling":29,"generative ai":29,"system design":29,"data engineering":29,"embedding models":29,"vector databases":29,"agentic workflows":29,"conversational ai":29,"query optimization":29,"distributed systems":29,"multi-agent systems":29,"infrastructure as code":29,"security and governance":29,"ai application development":29},[85,127,92,128,129,130,131,132,104,133,134,135,136,137,138,139,140,141],"AI Application Development","RAG Systems","Agentic Workflows","System Design","Distributed Systems","Data Modeling","Infrastructure as Code","Security and Governance","ETL Testing","Conversational AI","LLMs","Vector Databases","Embedding Models","Multi-agent Systems","AgentOps",{"id":143,"slug":144,"title":145,"raw_title":11,"is_featured":12,"company":146,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":147,"processed_country_iso_code_gmaps":148,"processed_home_office":20,"processed_salary_min":115,"processed_salary_max":116,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":149,"processed_employment_types":27,"processed_it_skills":150,"processed_it_skills_labels":152,"processed_job_expertise_skills":168,"processed_job_expertise_skills_labels":169,"max_cpc":107,"actual_cpc":107},72390,"senior-engineer-avp-f337-deutsche-india-private-limited-pune-branch","Senior Engineer - AVP",{"name":14,"slug":15,"logo_url":11},[17],[19],[26],{"gcp":29,"gke":30,"java":29,"ci\u002Fcd":30,"nosql":151,"redis":151,"docker":30,"oracle":29,"pl\u002Fsql":30,"pub\u002Fsub":30,"spanner":151,"ai tools":151,"bigquery":30,"bigtable":151,"pl\u002Fpgsql":30,"jvm tuning":151,"kubernetes":30,"postgresql":29,"apache beam":30,"apache spark":30,"cloud storage":30,"infrastructure as code":30},2,[153,120,154,155,156,157,53,158,57,133,43,48,44,159,160,161,162,163,164,165,166,167],"Java","Apache Beam","Apache Spark","PostgreSQL","Oracle","Kubernetes","GKE","PL\u002FpgSQL","PL\u002FSQL","Bigtable","Spanner","Redis","NoSQL","JVM tuning","AI tools",{"tdd\u002Fbdd":30,"testing":29,"gdpr\u002Fpii":30,"windowing":30,"watermarks":30,"concurrency":29,"db migration":30,"system design":29,"cloud security":30,"ai productivity":30,"data governance":30,"data engineering":29,"stored procedures":30,"performance tuning":29,"query optimization":29,"agile methodologies":30,"distributed systems":29,"event-driven design":30,"technical leadership":29,"performance profiling":30,"database schema design":29,"exactly-once semantics":30,"microservices architecture":29,"backup\u002Freplication strategies":30},[170,85,130,131,171,172,173,174,175,176,177,104,178,179,180,181,182,183,184,185,103,186,187,188],"Microservices Architecture","Concurrency","Performance Tuning","Testing","TDD\u002FBDD","Agile Methodologies","Technical Leadership","Database Schema Design","Backup\u002FReplication Strategies","Stored Procedures","Event-driven Design","Exactly-once Semantics","Windowing","Watermarks","DB Migration","Cloud Security","GDPR\u002FPII","Performance Profiling","AI Productivity",{"id":190,"slug":191,"title":192,"raw_title":11,"is_featured":12,"company":193,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":196,"processed_country_iso_code_gmaps":198,"processed_home_office":199,"processed_salary_min":200,"processed_salary_max":201,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":202,"processed_employment_types":27,"processed_it_skills":203,"processed_it_skills_labels":204,"processed_job_expertise_skills":226,"processed_job_expertise_skills_labels":227,"max_cpc":107,"actual_cpc":107},75116,"senior-software-engineer-net-windows-services-refinitiv-india-shared-services-private-limited","Senior Software Engineer (.NET \u002F Windows Services)",{"name":194,"slug":195,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[197],"Bengaluru",[19],"onsite",1500000,2500000,[26],{"c#":29,"elk":151,"git":30,"msmq":151,"kafka":151,"t-sql":29,"docker":151,"splunk":151,".net 6+":29,"datadog":151,"grafana":151,"rabbitmq":151,"rest apis":30,"powershell":151,"sql server":29,"app insights":151,"azure devops":30,"soap services":30,".net framework":29,"message queues":30,"ci\u002Fcd pipelines":30,"microsoft azure":151,"windows services":29,"azure service bus":151},[205,206,207,208,209,210,40,211,212,52,213,214,215,53,216,217,218,219,220,221,222,223,224,225],"C#",".NET Framework",".NET 6+","Windows Services","SQL Server","T-SQL","SOAP services","Message queues","Azure DevOps","CI\u002FCD pipelines","PowerShell","Microsoft Azure","Splunk","ELK","App Insights","Grafana","Datadog","MSMQ","RabbitMQ","Azure Service Bus","Kafka",{"code review":29,"multithreading":29,"database design":29,"test automation":30,"solid principles":29,"performance tuning":29,"production support":29,"query optimization":29,"release management":30,"system integration":29,"agile methodologies":30,"root cause analysis":29,"dependency injection":29,"legacy modernization":29,"technical leadership":29,"deployment automation":30,"software architecture":29,"object-oriented design":29,"asynchronous programming":29},[228,176,229,230,104,172,231,175,232,233,234,235,236,237,238,239,240,241,242],"Software Architecture","Code Review","Database Design","System Integration","Production Support","Release Management","Root Cause Analysis","Test Automation","Deployment Automation","Legacy Modernization","Multithreading","Asynchronous Programming","Object-Oriented Design","SOLID Principles","Dependency Injection",{"id":244,"slug":245,"title":246,"raw_title":11,"is_featured":12,"company":247,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":248,"processed_country_iso_code_gmaps":249,"processed_home_office":199,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":250,"processed_employment_types":27,"processed_it_skills":251,"processed_it_skills_labels":252,"processed_job_expertise_skills":263,"processed_job_expertise_skills_labels":264,"max_cpc":107,"actual_cpc":107},75114,"senior-software-engineer-net-wcf-modernization-refinitiv-india-shared-services-private-limited","Senior Software Engineer, .NET & WCF Modernization",{"name":194,"slug":195,"logo_url":11},[197],[19],[26],{"c#":29,"git":30,"wcf":29,"xml":30,"xsd":30,"grpc":151,"soap":30,"azure":151,"ci\u002Fcd":151,"docker":151,"asp.net":30,"rest apis":30,"sql server":29,"asp.net core":30,"azure devops":151,"microservices":151,".net framework":29,"github actions":151,"domain-driven design":151},[205,206,253,254,255,40,209,256,257,258,52,123,53,57,213,259,260,261,262],"WCF","ASP.NET","ASP.NET Core","SOAP","XML","XSD","GitHub Actions","gRPC","Microservices","Domain-Driven Design",{"code reviews":29,"database design":29,"performance tuning":29,"query optimization":29,"agile methodologies":30,"incident management":30,"root cause analysis":29,"enterprise integration":29,"technical documentation":30,"modernization strategies":29,"legacy application support":29,"software design principles":29},[265,266,267,230,104,172,234,175,268,94,269,270],"Legacy Application Support","Modernization Strategies","Software Design Principles","Code Reviews","Incident Management","Enterprise Integration",{"id":272,"slug":273,"title":274,"raw_title":11,"is_featured":12,"company":275,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":278,"processed_country_iso_code_gmaps":279,"processed_home_office":199,"processed_salary_min":200,"processed_salary_max":201,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":280,"processed_employment_types":27,"processed_it_skills":281,"processed_it_skills_labels":282,"processed_job_expertise_skills":288,"processed_job_expertise_skills_labels":289,"max_cpc":107,"actual_cpc":107},49354,"sql-developer-sr-analyst-mufg-global-service-private-limited","SQL Developer - Sr Analyst",{"name":276,"slug":277,"logo_url":11},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[197],[19],[26],{"sql":29,"ssis":29,"ssrs":30,"ci\u002Fcd":151,"oracle":151,"python":151,"power bi":30,"control-m":151,"snowflake":151,"powershell":151},[33,283,284,285,32,215,286,157,287,57],"SSIS","SSRS","Power BI","Snowflake","Control-M",{"etl\u002Felt":29,"data security":30,"data integration":29,"data warehousing":29,"devops practices":151,"performance tuning":29,"query optimization":29,"star schema design":29,"agile methodologies":151,"dimensional modeling":29,"execution plan analysis":29},[290,291,292,172,104,293,294,295,296,175,297],"Data Warehousing","Dimensional Modeling","Star Schema Design","Execution Plan Analysis","ETL\u002FELT","Data Integration","Data Security","DevOps Practices",{"id":299,"slug":300,"title":301,"raw_title":11,"is_featured":12,"company":302,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":303,"processed_country_iso_code_gmaps":304,"processed_home_office":199,"processed_salary_min":305,"processed_salary_max":306,"processed_salary_currency":307,"processed_salary_source":24,"processed_working_hours":308,"processed_employment_types":27,"processed_it_skills":309,"processed_it_skills_labels":310,"processed_job_expertise_skills":314,"processed_job_expertise_skills_labels":315,"max_cpc":107,"actual_cpc":328},59704,"senior-software-engineer-net-ind201-refinitiv-india-shared-services-private-limited","Senior Software Engineer (.NET)",{"name":194,"slug":195,"logo_url":11},[197],[19],80000,110000,"USD",[26],{"c#":29,"elk":30,"git":29,".net":29,"azure":30,"ci\u002Fcd":29,"react":151,"t-sql":29,"blazor":151,"docker":30,"angular":151,"serilog":30,"rest apis":29,"kubernetes":30,"sql server":29,"asp.net core":29,"azure devops":30,"microservices":29,"github actions":30},[311,205,255,40,261,209,210,52,57,213,259,53,158,123,312,218,36,37,313],".NET","Serilog","Blazor",{"kafka":30,"owasp":29,"scrum":29,"devops":29,"kanban":29,"service bus":30,"load testing":29,"data modeling":29,"observability":29,"secure coding":29,"solid principles":29,"clean architecture":29,"messaging patterns":30,"query optimization":29,"agile methodologies":29,"distributed tracing":30,"indexing strategies":29,"memory optimization":29,"domain-driven design":30,"performance profiling":29,"infrastructure as code":30,"asynchronous programming":29,"event-driven architecture":30},[241,262,316,239,187,317,318,319,67,320,321,175,322,323,132,104,324,325,326,327,225,133,88],"Clean Architecture","Memory Optimization","Load Testing","Secure Coding","Observability","Distributed Tracing","Scrum","Kanban","Indexing Strategies","Event-Driven Architecture","Messaging Patterns","Service Bus",0.3,{"industry":330,"employment_type":343,"expertise_skills":346,"it_skills":401,"salary_currency":463,"processed_working_hours":466},[331,334,337,340],{"key":332,"label":333,"count":29},"financial services","Financial Services",{"key":335,"label":336,"count":30},"financial markets infrastructure","Financial Markets Infrastructure",{"key":338,"label":339,"count":151},"data","Data",{"key":341,"label":342,"count":107},"data provider","Data Provider",[344],{"key":27,"label":345,"count":5},"PERMANENT",[347,349,352,354,356,358,360,362,365,367,369,371,373,375,377,380,383,386,388,390,392,395,397,399],{"key":348,"label":104,"slug":348,"count":5},"query-optimization",{"key":350,"label":175,"slug":350,"count":351},"agile-methodologies",5,{"key":353,"label":172,"slug":353,"count":29},"performance-tuning",{"key":355,"label":85,"slug":355,"count":30},"data-engineering",{"key":357,"label":230,"slug":357,"count":151},"database-design",{"key":359,"label":131,"slug":359,"count":151},"distributed-systems",{"key":361,"label":94,"slug":361,"count":151},"technical-documentation",{"key":363,"label":364,"slug":363,"count":151},"generative-ai","Generative Ai",{"key":366,"label":103,"slug":366,"count":151},"data-governance",{"key":368,"label":239,"slug":368,"count":151},"asynchronous-programming",{"key":370,"label":187,"slug":370,"count":151},"performance-profiling",{"key":372,"label":234,"slug":372,"count":151},"root-cause-analysis",{"key":374,"label":132,"slug":374,"count":151},"data-modeling",{"key":376,"label":130,"slug":376,"count":151},"system-design",{"key":378,"label":379,"slug":378,"count":151},"infrastructure-as-code","Infrastructure As Code",{"key":381,"label":382,"slug":381,"count":151},"devops","Devops",{"key":384,"label":385,"slug":384,"count":151},"solid-principles","Solid Principles",{"key":387,"label":176,"slug":387,"count":151},"technical-leadership",{"key":389,"label":185,"slug":389,"count":107},"cloud-security",{"key":391,"label":87,"slug":391,"count":107},"cloud-architecture",{"key":393,"label":394,"slug":393,"count":107},"ai-productivity","Ai Productivity",{"key":396,"label":316,"slug":396,"count":107},"clean-architecture",{"key":398,"label":98,"slug":398,"count":107},"data-modelling",{"key":400,"label":84,"slug":400,"count":107},"full-stack-development",[402,405,408,411,413,416,418,421,423,425,428,431,433,435,437,440,442,445,448,451,453,456,458,461],{"key":403,"label":53,"slug":403,"count":404},"docker",6,{"key":406,"label":407,"slug":406,"count":404},"cicd","Ci\u002FCd",{"key":409,"label":410,"slug":409,"count":351},"rest-apis","Rest Apis",{"key":412,"label":52,"slug":412,"count":29},"git",{"key":414,"label":415,"slug":414,"count":30},"sql-server","Sql Server",{"key":417,"label":33,"slug":417,"count":30},"sql",{"key":419,"label":420,"slug":419,"count":30},"bigquery","Bigquery",{"key":422,"label":205,"slug":422,"count":30},"c",{"key":424,"label":48,"slug":424,"count":30},"pubsub",{"key":426,"label":427,"slug":426,"count":30},"azure-devops","Azure Devops",{"key":429,"label":430,"slug":429,"count":30},"ms-azure","MS Azure",{"key":432,"label":32,"slug":432,"count":30},"python",{"key":434,"label":47,"slug":434,"count":151},"apache-airflow",{"key":436,"label":44,"slug":436,"count":151},"cloud-storage",{"key":438,"label":439,"slug":438,"count":151},"aspnet-core","Asp.Net Core",{"key":441,"label":37,"slug":441,"count":151},"angular",{"key":443,"label":444,"slug":443,"count":151},"gcp","Gcp",{"key":446,"label":447,"slug":446,"count":151},"net-framework",".Net Framework",{"key":449,"label":450,"slug":449,"count":151},"github-actions","Github Actions",{"key":452,"label":55,"slug":452,"count":151},"artifact-registry",{"key":454,"label":455,"slug":454,"count":151},"t-sql","T-Sql",{"key":457,"label":54,"slug":457,"count":151},"terraform",{"key":459,"label":460,"slug":459,"count":151},"google-agent-development-kit-adk","Google Agent Development Kit (Adk)",{"key":462,"label":36,"slug":462,"count":151},"react",[464,465],{"key":23,"label":23,"count":404},{"key":307,"label":307,"count":107},[467],{"key":26,"label":26,"count":5},{"total":469,"jobs":470},0,[]]