[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-expertise-data-modeling-in":3,"job-search-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-modeling":8,"expertise-filters-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-modeling":612,"featured-jobs-\u002Fde-in\u002Fjobs-by-expertise\u002Fdata-modeling":761},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fexpertise\u002Fdata-modeling.webp",null,"expertise:data-modeling:in","2026-08-17T09:07:57.317451+02:00",{"total":9,"jobs":10},30,[11,88,114,147,175,215,241,267,308,352,383,408,433,460,495,507,523,550,573,588],{"id":12,"slug":13,"title":14,"raw_title":5,"is_featured":15,"company":16,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":19,"processed_country_iso_code_gmaps":21,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":28,"processed_employment_types":30,"processed_it_skills":31,"processed_it_skills_labels":35,"processed_job_expertise_skills":60,"processed_job_expertise_skills_labels":61,"max_cpc":87,"actual_cpc":87},88183,"ind-lead-software-engineer-hartford-global-services-private-limited-5","IND Lead Software Engineer",false,{"name":17,"slug":18,"logo_url":5},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[20],"Hyderabad",[22],"IN","onsite",2000000,3500000,"INR","estimated",[29],"FULL_TIME","permanent",{"aws":32,"etl":33,"gcp":32,"rag":32,"sql":33,"apex":34,"soql":34,"ci\u002Fcd":33,"rally":32,"copado":33,"python":33,"rest apis":32,"snowflake":32,"soap apis":32,"vertex ai":32,"salesforce":34,"visualforce":34,"workflow rules":34,"graph databases":32,"process builder":34,"salesforce flow":34,"informatica idmc":33,"vector databases":32,"lightning web components":34},3,2,4,[36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59],"Salesforce","Apex","Visualforce","Lightning Web Components","SOQL","Salesforce Flow","Process Builder","Workflow Rules","REST APIs","SOAP APIs","Snowflake","SQL","Python","Informatica IDMC","CI\u002FCD","Copado","AWS","GCP","Vertex AI","RAG","Vector Databases","Graph Databases","ETL","Rally",{"testing":34,"automation":34,"deployment":34,"data audits":34,"code reviews":34,"data quality":34,"data modeling":34,"security model":34,"data monitoring":34,"data validation":34,"poc development":32,"report creation":34,"sdlc governance":32,"user management":34,"data integration":34,"data warehousing":32,"agentic workflows":32,"dashboard creation":34,"salesforce development":34,"streaming technologies":32,"workflow configuration":34,"generative ai workflows":32,"salesforce administration":34,"custom object configuration":34,"unstructured data processing":32},[62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86],"Salesforce Administration","Salesforce Development","Data Modeling","Security Model","Data Integration","Data Quality","Data Validation","Data Monitoring","Generative AI Workflows","Agentic Workflows","Automation","Code Reviews","Testing","Deployment","User Management","Data Audits","Report Creation","Dashboard Creation","Workflow Configuration","Custom Object Configuration","POC Development","SDLC Governance","Data Warehousing","Streaming Technologies","Unstructured Data Processing",1,{"id":89,"slug":90,"title":91,"raw_title":5,"is_featured":15,"company":92,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":95,"processed_country_iso_code_gmaps":96,"processed_home_office":97,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":98,"processed_employment_types":30,"processed_it_skills":99,"processed_it_skills_labels":100,"processed_job_expertise_skills":107,"processed_job_expertise_skills_labels":108,"max_cpc":87,"actual_cpc":87},84438,"sr-eng-i-digital-dist-ent-eng-invesco-india-private-limited-sez-unit","Sr. Eng. I, Digital Dist & Ent Eng",{"name":93,"slug":94,"logo_url":5},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[20],[22],"hybrid",[29],{"analytics":34,"reporting":34,"servicenow":34,"data integration":32,"data visualization":32,"dashboard development":34,"performance optimization":32},[101,102,103,104,66,105,106],"ServiceNow","Dashboard Development","Reporting","Analytics","Data Visualization","Performance Optimization",{"audit":32,"compliance":32,"data modeling":32,"risk management":32,"key risk indicators (kris)":34,"key performance indicators (kpis)":34},[109,110,111,112,113,64],"Risk Management","Compliance","Audit","Key Risk Indicators (KRIs)","Key Performance Indicators (KPIs)",{"id":115,"slug":116,"title":117,"raw_title":5,"is_featured":15,"company":118,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":121,"processed_country_iso_code_gmaps":123,"processed_home_office":23,"processed_salary_min":124,"processed_salary_max":24,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":125,"processed_employment_types":30,"processed_it_skills":126,"processed_it_skills_labels":127,"processed_job_expertise_skills":136,"processed_job_expertise_skills_labels":137,"max_cpc":87,"actual_cpc":87},80751,"associate-transformation-apollo-india-services-llp","Associate - Transformation",{"name":119,"slug":120,"logo_url":5},"Apollo India Services LLP","apollo-india-services-llp",[122],"Mumbai",[22],1200000,[29],{"vba":32,"jira":33,"python":32,"alteryx":34,"tableau":32,"power bi":32,"power query":32,"ai platforms":33,"advanced excel":34},[128,129,130,131,48,132,133,134,135],"Alteryx","Power BI","Power Query","VBA","Tableau","Advanced Excel","JIRA","AI platforms",{"data modeling":34,"kpi definition":32,"process redesign":34,"agile methodology":32,"change management":32,"financial systems":32,"data transformation":34,"finance process automation":34,"reconciliation and validation controls":34},[138,139,140,141,142,143,144,145,146],"Finance process automation","Data modeling","Process redesign","Reconciliation and validation controls","Financial systems","Data transformation","Agile methodology","Change management","KPI definition",{"id":148,"slug":149,"title":150,"raw_title":5,"is_featured":15,"company":151,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":154,"processed_country_iso_code_gmaps":156,"processed_home_office":97,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":159,"processed_employment_types":30,"processed_it_skills":160,"processed_it_skills_labels":161,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":87,"actual_cpc":87},82784,"workday-prism-analytics-and-reporting-consultant-hr-it-associate-f335-deutsche-india-private-limited-bangalore-branch","Workday Prism Analytics and Reporting Consultant – HR IT, Associate",{"name":152,"slug":153,"logo_url":5},"F335 Deutsche India Private Limited, Bangalore Branch","f335-deutsche-india-private-limited-bangalore-branch",[155],"Bangalore",[22],1500000,2500000,[29],{"etl":32,"sql":33,"ai tools":32,"workday hcm":32,"workday reporting":34,"data visualization":32,"workday prism analytics":34},[162,163,164,58,105,47,165],"Workday Prism Analytics","Workday Reporting","Workday HCM","AI Tools",{"compliance":32,"data modeling":34,"data governance":32,"access management":32,"process improvement":32,"data pipeline design":34,"hr data transformation":34,"security configuration":32,"technical documentation":32},[168,169,64,170,110,171,172,173,174],"HR Data Transformation","Data Pipeline Design","Data Governance","Process Improvement","Technical Documentation","Security Configuration","Access Management",{"id":176,"slug":177,"title":178,"raw_title":5,"is_featured":15,"company":179,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":183,"processed_country_iso_code_gmaps":185,"processed_home_office":97,"processed_salary_min":186,"processed_salary_max":187,"processed_salary_currency":188,"processed_salary_source":27,"processed_working_hours":189,"processed_employment_types":30,"processed_it_skills":190,"processed_it_skills_labels":191,"processed_job_expertise_skills":204,"processed_job_expertise_skills_labels":205,"max_cpc":87,"actual_cpc":87},81730,"data-engineer3333-allianz-insurance","Data Engineer_3333",{"name":180,"slug":181,"logo_url":182},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[184],"Pune",[22],80000,120000,"EUR",[29],{"git":32,"sql":34,"ci\u002Fcd":32,"spark":34,"devops":32,"mlflow":32,"python":34,"pyspark":34,"spark sql":34,"databricks":34,"delta lake":34,"unity catalog":34,"databricks workflows":34,"azure synapse analytics":34,"databricks asset bundles":34},[192,193,194,195,196,197,198,199,200,201,47,48,202,50,203],"Databricks","Spark","Delta Lake","MLflow","Azure Synapse Analytics","PySpark","Spark SQL","Unity Catalog","Databricks Workflows","Databricks Asset Bundles","Git","DevOps",{"mentoring":32,"data lineage":32,"data modeling":34,"data security":32,"etl migration":34,"data governance":32,"team leadership":32,"data engineering":34,"data architecture":34,"root cause analysis":32,"cloud data solutions":34,"performance optimization":34},[206,207,64,208,209,106,170,210,211,212,213,214],"Data Engineering","Data Architecture","Cloud Data Solutions","ETL Migration","Data Lineage","Data Security","Root Cause Analysis","Team Leadership","Mentoring",{"id":216,"slug":217,"title":218,"raw_title":5,"is_featured":15,"company":219,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":220,"processed_country_iso_code_gmaps":221,"processed_home_office":97,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":222,"processed_employment_types":30,"processed_it_skills":223,"processed_it_skills_labels":224,"processed_job_expertise_skills":226,"processed_job_expertise_skills_labels":227,"max_cpc":87,"actual_cpc":87},84436,"sr-ba-ii-invesco-india-private-limited-sez-unit","Sr. BA II",{"name":93,"slug":94,"logo_url":5},[20],[22],[29],{"sql":34,"python":34,"microsoft office":32},[47,48,225],"Microsoft Office",{"agile":32,"data risk":32,"data analysis":34,"data modeling":32,"data lifecycle":32,"data governance":32,"asset management":34,"business analysis":34,"financial services":34,"project management":32,"process improvement":32,"business intelligence":32,"investment management":34,"master data management":32,"requirements gathering":34,"user acceptance testing":32},[228,229,230,170,64,231,232,233,234,235,236,237,238,171,239,240],"Business Analysis","Data Analysis","Requirements Gathering","Master Data Management","Business Intelligence","Agile","Project Management","Investment Management","Asset Management","Financial Services","User Acceptance Testing","Data Lifecycle","Data Risk",{"id":242,"slug":243,"title":244,"raw_title":5,"is_featured":15,"company":245,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":248,"processed_country_iso_code_gmaps":249,"processed_home_office":97,"processed_salary_min":250,"processed_salary_max":251,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":252,"processed_employment_types":30,"processed_it_skills":253,"processed_it_skills_labels":254,"processed_job_expertise_skills":257,"processed_job_expertise_skills_labels":258,"max_cpc":87,"actual_cpc":87},83174,"credit-risk-capital-strats-avp-9608-deutsche-india-private-limited-mumbai-branch","Credit Risk & Capital Strats, AVP",{"name":246,"slug":247,"logo_url":5},"9608 Deutsche India Private Limited, Mumbai Branch","9608-deutsche-india-private-limited-mumbai-branch",[122],[22],3000000,5000000,[29],{"c++":34,"python":34,"ai tools":32},[255,48,256],"C++","AI tools",{"credit risk":34,"data modeling":32,"risk management":34,"banking products":32,"capital planning":34,"capital management":34,"financial modeling":34,"accounting standards":32,"regulatory reporting":34,"counterparty credit risk":34},[259,260,261,262,263,109,264,265,64,266],"Credit Risk","Capital Management","Regulatory Reporting","Counterparty Credit Risk","Financial Modeling","Banking Products","Accounting Standards","Capital Planning",{"id":268,"slug":269,"title":270,"raw_title":5,"is_featured":15,"company":271,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":274,"processed_country_iso_code_gmaps":275,"processed_home_office":97,"processed_salary_min":250,"processed_salary_max":251,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":276,"processed_employment_types":30,"processed_it_skills":277,"processed_it_skills_labels":278,"processed_job_expertise_skills":292,"processed_job_expertise_skills_labels":293,"max_cpc":87,"actual_cpc":87},83098,"gcp-data-and-ai-engineer-avp-f337-deutsche-india-private-limited-pune-branch","GCP Data and AI Engineer, AVP",{"name":272,"slug":273,"logo_url":5},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[184],[22],[29],{"aws":32,"gcp":34,"sql":34,"azure":32,"ci\u002Fcd":34,"docker":34,"python":34,"pub\u002Fsub":34,"bigquery":34,"cloud run":34,"rest apis":34,"terraform":34,"vertex ai":34,"cloud build":34,"dialogflow cx":34,"apache airflow":34,"cloud composer":34,"artifact registry":34,"gemini enterprise agent platform":34,"google agent development kit (adk)":34},[48,47,53,279,280,281,282,283,50,284,285,286,44,54,287,288,289,290,291,52],"BigQuery","Cloud Composer","Apache Airflow","Cloud Run","Terraform","Cloud Build","Artifact Registry","Docker","Dialogflow CX","Gemini Enterprise Agent Platform","Google Agent Development Kit (ADK)","Pub\u002FSub","Azure",{"llms":34,"agentops":34,"etl testing":34,"rag systems":34,"data modeling":34,"generative ai":34,"system design":34,"data engineering":34,"embedding models":34,"vector databases":34,"agentic workflows":34,"conversational ai":34,"query optimization":34,"distributed systems":34,"multi-agent systems":34,"infrastructure as code":34,"security and governance":34,"ai application development":34},[206,294,295,296,71,297,298,64,299,300,301,302,303,304,56,305,306,307],"AI Application Development","Generative AI","RAG Systems","System Design","Distributed Systems","Query Optimization","Infrastructure as Code","Security and Governance","ETL Testing","Conversational AI","LLMs","Embedding Models","Multi-agent Systems","AgentOps",{"id":309,"slug":310,"title":311,"raw_title":5,"is_featured":15,"company":312,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":313,"processed_country_iso_code_gmaps":314,"processed_home_office":97,"processed_salary_min":315,"processed_salary_max":316,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":317,"processed_employment_types":30,"processed_it_skills":318,"processed_it_skills_labels":319,"processed_job_expertise_skills":338,"processed_job_expertise_skills_labels":339,"max_cpc":87,"actual_cpc":87},83092,"full-stack-reporting-lead-vp-f337-deutsche-india-private-limited-pune-branch","Full Stack Reporting Lead, VP",{"name":272,"slug":273,"logo_url":5},[184],[22],4000000,6000000,[29],{"api":34,"gcs":34,"axiom":34,"kafka":32,"uflow":34,"oracle":34,"python":33,"pub\u002Fsub":34,"reactjs":34,"ai tools":33,"bigquery":34,"dataflow":34,"postgres":34,"cloud run":34,"core java":34,"kubernetes":34,"springboot":34,"cdc patterns":32,"cloud composer":34,"cloud functions":34,"spark streaming":32,"messaging technologies":32,"google cloud platform (gcp)":34,"wolter kluwer's application suite":34},[320,321,322,323,324,325,326,327,328,279,290,329,280,282,330,331,332,333,334,335,336,337,48,256],"Oracle","Postgres","Axiom","Wolter Kluwer's application suite","Core Java","Springboot","ReactJs","Google Cloud Platform (GCP)","GCS","Dataflow","Cloud Functions","Kubernetes","Kafka","Spark Streaming","CDC patterns","Messaging technologies","API","uFlow",{"agile":34,"ci\u002Fcd":34,"devops":34,"automation":34,"data lineage":34,"data quality":34,"data modeling":34,"observability":34,"risk management":34,"data engineering":34,"data integration":34,"cloud-native design":34,"metadata management":34,"regulatory reporting":34,"solution architecture":34,"technology governance":34,"event-driven solutions":34,"low-latency processing":34,"master data management":34,"platform modernization":34,"streaming architecture":34,"enterprise reporting architecture":34,"asset management business processes":34},[66,340,206,341,64,342,67,210,231,343,344,345,203,50,72,346,347,348,349,350,261,233,351],"Solution Architecture","Enterprise Reporting Architecture","Metadata Management","Event-driven solutions","Streaming architecture","Low-latency processing","Observability","Platform modernization","Technology governance","Risk management","Asset Management business processes","Cloud-Native design",{"id":353,"slug":354,"title":355,"raw_title":5,"is_featured":15,"company":356,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":357,"processed_country_iso_code_gmaps":358,"processed_home_office":23,"processed_salary_min":250,"processed_salary_max":251,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":359,"processed_employment_types":30,"processed_it_skills":360,"processed_it_skills_labels":361,"processed_job_expertise_skills":368,"processed_job_expertise_skills_labels":369,"max_cpc":87,"actual_cpc":87},83101,"java-backend-delivery-avp-f337-deutsche-india-private-limited-pune-branch","Java Backend Delivery - AVP",{"name":272,"slug":273,"logo_url":5},[184],[22],[29],{"sql":34,"java":34,"kafka":32,"devops":32,"ai tools":32,"bigquery":33,"rest api":34,"apache beam":33,"spring boot":34,"microservices":34,"cloud computing (gcp\u002Fazure\u002Faws)":32},[362,363,364,365,47,332,366,203,279,367,165],"Java","Spring Boot","Microservices","REST API","Cloud Computing (GCP\u002FAzure\u002FAWS)","Apache Beam",{"clean code":34,"concurrency":34,"code reviews":34,"load testing":32,"data modeling":34,"stress testing":32,"design patterns":34,"memory management":34,"performance tuning":34,"agile methodologies":34,"relational databases":34,"event-driven architecture":34,"test-driven development (tdd)":34,"software development lifecycle":34,"behavior-driven development (bdd)":34},[370,371,372,64,373,374,375,376,377,378,379,73,380,381,382],"Software Development Lifecycle","Design Patterns","Relational Databases","Event-Driven Architecture","Performance Tuning","Concurrency","Memory Management","Test-Driven Development (TDD)","Behavior-Driven Development (BDD)","Clean Code","Agile Methodologies","Load Testing","Stress Testing",{"id":384,"slug":385,"title":386,"raw_title":5,"is_featured":15,"company":387,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":390,"processed_country_iso_code_gmaps":392,"processed_home_office":23,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":393,"processed_employment_types":30,"processed_it_skills":394,"processed_it_skills_labels":395,"processed_job_expertise_skills":398,"processed_job_expertise_skills_labels":399,"max_cpc":87,"actual_cpc":87},75126,"senior-content-specialist-refinitiv-india-shared-services-private-limited-3","Senior Content Specialist",{"name":388,"slug":389,"logo_url":5},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[391],"Bengaluru",[22],[29],{"ai":32,"sql":32,"python":32,"agentic ai":32},[47,48,396,397],"AI","Agentic AI",{"esg":34,"data analysis":34,"data modeling":32,"sustainability":34,"client interaction":34,"policy development":34,"content development":34,"regulatory research":34,"talent pipeline building":32,"business proposal development":32},[400,401,402,229,64,403,404,405,406,407],"Sustainability","ESG","Regulatory Research","Policy Development","Content Development","Client Interaction","Talent Pipeline Building","Business Proposal Development",{"id":409,"slug":410,"title":411,"raw_title":5,"is_featured":15,"company":412,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":413,"processed_country_iso_code_gmaps":414,"processed_home_office":97,"processed_salary_min":158,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":415,"processed_employment_types":30,"processed_it_skills":416,"processed_it_skills_labels":417,"processed_job_expertise_skills":422,"processed_job_expertise_skills_labels":423,"max_cpc":87,"actual_cpc":87},72406,"business-functional-analyst-with-german-fluency-midrange-avp-f337-deutsche-india-private-limited-pune-branch","Business Functional Analyst with German fluency (Midrange), AVP",{"name":272,"slug":273,"logo_url":5},[184],[22],[29],{"java":33,"jira":32,"bruno":33,"ai tools":32,"confluence":32,"sql developer":32},[362,418,419,420,421,165],"Jira","Confluence","SQL Developer","Bruno",{"taxation":34,"api testing":32,"unit testing":32,"data analysis":32,"data modeling":32,"process modeling":32,"business analysis":34,"project management":32,"securities trading":34,"functional analysis":34,"integration testing":32,"agile software development":34,"investment business knowledge":32},[228,424,425,426,427,428,429,229,430,431,64,234,432],"Functional Analysis","Securities Trading","Taxation","Agile Software Development","Unit Testing","Integration Testing","API Testing","Process Modeling","Investment Business Knowledge",{"id":434,"slug":435,"title":436,"raw_title":5,"is_featured":15,"company":437,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":440,"processed_country_iso_code_gmaps":441,"processed_home_office":23,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":442,"processed_employment_types":30,"processed_it_skills":443,"processed_it_skills_labels":444,"processed_job_expertise_skills":448,"processed_job_expertise_skills_labels":449,"max_cpc":87,"actual_cpc":87},69138,"data-analyst-finance-technology-ares-operations-india-private-limited","Data Analyst, Finance Technology",{"name":438,"slug":439,"logo_url":5},"Ares Operations India Private Limited","ares-operations-india-private-limited",[122],[22],[29],{"sql":34,"python":32,"pyspark":32,"power bi":32,"databricks":32,"microsoft excel":34,"microsoft fabric":32,"azure data services":32},[47,445,192,48,197,129,446,447],"Microsoft Excel","Microsoft Fabric","Azure data services",{"etl\u002Felt":32,"data modeling":32,"data governance":34,"fund accounting":34,"asset management":32,"business analysis":34,"release management":32,"data reconciliation":34,"financial reporting":32,"metadata management":32,"accounting principles":32,"data quality analysis":34,"investment operations":32,"requirements gathering":34,"data product management":34,"user acceptance testing (uat)":34},[450,170,451,228,230,452,453,454,455,64,456,236,457,458,459,342],"Fund Accounting","Data Product Management","Data Reconciliation","Data Quality Analysis","User Acceptance Testing (UAT)","ETL\u002FELT","Financial Reporting","Investment Operations","Accounting Principles","Release Management",{"id":461,"slug":462,"title":386,"raw_title":5,"is_featured":15,"company":463,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":466,"processed_country_iso_code_gmaps":467,"processed_home_office":97,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":468,"processed_employment_types":30,"processed_it_skills":469,"processed_it_skills_labels":470,"processed_job_expertise_skills":474,"processed_job_expertise_skills_labels":475,"max_cpc":87,"actual_cpc":87},75128,"senior-content-specialist-refinitiv-india-private-limited",{"name":464,"slug":465,"logo_url":5},"Refinitiv India Private Limited","refinitiv-india-private-limited",[391],[22],[29],{"sql":32,"python":32,"ai agents":32,"workflow automation tools":32,"low-code development platforms":32},[48,47,471,472,473],"Low-code development platforms","AI agents","Workflow automation tools",{"data quality":32,"data modeling":34,"agile delivery":32,"data governance":32,"data management":32,"business analysis":34,"content operations":32,"data transformation":34,"process improvement":34,"operational controls":32,"product-led delivery":32,"market data knowledge":32,"business transformation":34,"technology transformation":34,"operational transformation":34,"platform migration support":34,"requirements documentation":34,"financial services knowledge":32,"operating model documentation":34,"business process documentation":34,"technology implementation support":34},[476,477,143,478,479,480,481,482,483,484,485,139,486,487,488,489,490,491,492,493,494],"Business transformation","Operational transformation","Technology transformation","Business analysis","Process improvement","Business process documentation","Requirements documentation","Operating model documentation","Technology implementation support","Platform migration support","Data governance","Data quality","Operational controls","Agile delivery","Product-led delivery","Financial services knowledge","Market data knowledge","Data management","Content operations",{"id":496,"slug":497,"title":386,"raw_title":5,"is_featured":15,"company":498,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":499,"processed_country_iso_code_gmaps":500,"processed_home_office":97,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":501,"processed_employment_types":30,"processed_it_skills":502,"processed_it_skills_labels":503,"processed_job_expertise_skills":504,"processed_job_expertise_skills_labels":505,"max_cpc":87,"actual_cpc":87},75129,"senior-content-specialist-refinitiv-india-shared-services-private-limited-4",{"name":388,"slug":389,"logo_url":5},[391],[22],[29],{"sql":32,"python":32,"ai agents":33,"workflow automation tools":33,"low-code development platforms":33},[48,47,471,472,473],{"data quality":32,"data modeling":32,"agile delivery":32,"data governance":32,"business analysis":34,"data transformation":34,"process improvement":34,"operational controls":32,"product-led delivery":32,"operating model design":34,"business transformation":34,"technology transformation":34,"operational transformation":34,"platform migration support":34,"requirements documentation":34,"business process documentation":34,"technology implementation support":34},[476,477,143,478,479,480,481,482,506,484,485,139,486,487,488,489,490],"Operating model design",{"id":508,"slug":509,"title":386,"raw_title":5,"is_featured":15,"company":510,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":511,"processed_country_iso_code_gmaps":512,"processed_home_office":97,"processed_salary_min":157,"processed_salary_max":158,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":513,"processed_employment_types":30,"processed_it_skills":514,"processed_it_skills_labels":515,"processed_job_expertise_skills":517,"processed_job_expertise_skills_labels":518,"max_cpc":87,"actual_cpc":87},75104,"senior-content-specialist-refinitiv-india-shared-services-private-limited",{"name":388,"slug":389,"logo_url":5},[391],[22],[29],{"sql":32,"python":32,"ai agents":32,"workflow automation tools":32,"data visualization platforms":32,"low-code development platforms":32},[48,47,471,516,472,473],"Data visualization platforms",{"data modeling":32,"business analysis":34,"process improvement":34,"market data operations":32,"equity corporate actions":32,"agile or product-led delivery":32,"business process documentation":34,"technology implementation support":34,"data quality and operational controls":32},[479,480,481,484,139,519,520,521,522],"Equity Corporate Actions","Market data operations","Data quality and operational controls","Agile or product-led delivery",{"id":524,"slug":525,"title":526,"raw_title":5,"is_featured":15,"company":527,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":530,"processed_country_iso_code_gmaps":531,"processed_home_office":97,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":532,"processed_employment_types":30,"processed_it_skills":533,"processed_it_skills_labels":534,"processed_job_expertise_skills":543,"processed_job_expertise_skills_labels":544,"max_cpc":87,"actual_cpc":87},75087,"data-engineerpythonawssql-lseg","Data Engineer(Python\u002FAWS\u002FSQL)",{"name":528,"slug":529,"logo_url":5},"LSEG","lseg",[391],[22],[29],{"go":33,"aws":32,"c++":33,"git":32,"sql":34,"java":33,"rust":33,"ci\u002Fcd":32,"deequ":33,"scala":33,"python":34,"aws cdk":33,"pyspark":33,"snowflake":33,"terraform":33,"databricks":33,"delta lake":33,"apache spark":33,"apache iceberg":33,"great expectations":33},[48,52,47,202,50,535,197,536,362,255,537,538,283,539,540,541,542,194,192,46],"Apache Spark","Scala","Go","Rust","AWS CDK","Great Expectations","Deequ","Apache Iceberg",{"etl":32,"data modeling":34,"batch processing":32,"schema evolution":32,"agile methodologies":32,"investment analytics":33,"software engineering":34,"financial indices domain":33},[545,64,58,546,547,380,548,549],"Software Engineering","Batch Processing","Schema Evolution","Financial Indices Domain","Investment Analytics",{"id":551,"slug":552,"title":553,"raw_title":5,"is_featured":15,"company":554,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":557,"processed_country_iso_code_gmaps":558,"processed_home_office":23,"processed_salary_min":186,"processed_salary_max":187,"processed_salary_currency":559,"processed_salary_source":27,"processed_working_hours":560,"processed_employment_types":30,"processed_it_skills":561,"processed_it_skills_labels":562,"processed_job_expertise_skills":568,"processed_job_expertise_skills_labels":569,"max_cpc":87,"actual_cpc":87},61463,"assistant-vice-president-business-intelligence-mufg-global-service-private-limited","Assistant Vice President-BUSINESS INTELLIGENCE",{"name":555,"slug":556,"logo_url":5},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[391],[22],"USD",[29],{"dax":34,"python":33,"power bi":34,"power apps":34,"sharepoint":32,"power automate":34,"microsoft copilot":32},[129,563,564,565,566,48,567],"DAX","Power Apps","Power Automate","Microsoft Copilot","SharePoint",{"data analysis":34,"data modeling":34,"dashboard design":34,"solution delivery":34,"business intelligence":34,"requirements gathering":34,"ai solution development":32,"user acceptance testing":32},[229,232,64,570,230,571,572,238],"Dashboard Design","Solution Delivery","AI Solution Development",{"id":574,"slug":575,"title":576,"raw_title":5,"is_featured":15,"company":577,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":578,"processed_country_iso_code_gmaps":579,"processed_home_office":23,"processed_salary_min":580,"processed_salary_max":581,"processed_salary_currency":188,"processed_salary_source":27,"processed_working_hours":582,"processed_employment_types":30,"processed_it_skills":583,"processed_it_skills_labels":584,"processed_job_expertise_skills":586,"processed_job_expertise_skills_labels":587,"max_cpc":87,"actual_cpc":87},61489,"senior-analyst-business-intelligence-mufg-global-service-private-limited","Senior Analyst- BUSINESS INTELLIGENCE",{"name":555,"slug":556,"logo_url":5},[391],[22],70000,100000,[29],{"dax":34,"python":33,"power bi":34,"power apps":34,"sharepoint":32,"copilot studio":34,"power automate":34,"microsoft copilot":34},[129,563,564,565,566,585,567,48],"Copilot Studio",{"data analysis":34,"data modeling":34,"dashboard design":34,"solution delivery":34,"requirements gathering":34,"ai solution development":34,"user acceptance testing":32},[229,64,570,230,571,238,572],{"id":589,"slug":590,"title":591,"raw_title":5,"is_featured":15,"company":592,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":593,"processed_country_iso_code_gmaps":594,"processed_home_office":23,"processed_salary_min":581,"processed_salary_max":595,"processed_salary_currency":559,"processed_salary_source":27,"processed_working_hours":596,"processed_employment_types":30,"processed_it_skills":597,"processed_it_skills_labels":598,"processed_job_expertise_skills":605,"processed_job_expertise_skills_labels":606,"max_cpc":87,"actual_cpc":611},59643,"sr-lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Sr Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":388,"slug":389,"logo_url":5},[391],[22],150000,[29],{"c":32,"c#":32,"go":32,"aws":34,"c++":32,"cdk":32,"sql":34,"java":32,"rust":32,"deequ":32,"scala":32,"python":34,"jenkins":32,"pyspark":32,"gitlab ci":32,"snowflake":32,"terraform":32,"databricks":32,"delta lake":32,"apache spark":32,"apache iceberg":32,"github actions":32,"great expectations":32},[48,52,47,362,599,600,255,536,537,538,535,197,542,194,192,46,601,602,603,283,604,540,541],"C#","C","GitLab CI","Jenkins","GitHub Actions","CDK",{"etl":34,"ci\u002Fcd":34,"testing":34,"refactoring":34,"data modeling":34,"system design":34,"batch processing":34,"schema evolution":34,"secure development":34,"investment analytics":32,"portfolio management":32,"software architecture":34,"financial indices domain":32},[607,297,50,74,608,609,64,58,547,546,548,549,610],"Software Architecture","Refactoring","Secure Development","Portfolio Management",0.3,{"industry":613,"employment_type":637,"expertise_skills":640,"it_skills":697,"salary_currency":754,"processed_working_hours":759},[614,617,621,625,628,631,634],{"key":615,"label":237,"count":616},"financial services",18,{"key":618,"label":619,"count":620},"financial markets infrastructure","Financial Markets Infrastructure",9,{"key":622,"label":623,"count":624},"data","Data",8,{"key":626,"label":627,"count":33},"insurance","Insurance",{"key":629,"label":630,"count":87},"alternative asset management","Alternative Asset Management",{"key":632,"label":633,"count":87},"banking","Banking",{"key":635,"label":636,"count":87},"data provider","Data Provider",[638],{"key":30,"label":639,"count":9},"PERMANENT",[641,643,646,648,651,653,656,659,661,663,665,667,669,671,673,675,677,680,683,685,687,689,692,695],{"key":642,"label":64,"slug":642,"count":9},"data-modeling",{"key":644,"label":229,"slug":644,"count":645},"data-analysis",7,{"key":647,"label":170,"slug":647,"count":645},"data-governance",{"key":649,"label":171,"slug":649,"count":650},"process-improvement",6,{"key":652,"label":228,"slug":652,"count":650},"business-analysis",{"key":654,"label":67,"slug":654,"count":655},"data-quality",5,{"key":657,"label":658,"slug":657,"count":655},"project-management","Project management",{"key":660,"label":380,"slug":660,"count":655},"agile-methodologies",{"key":662,"label":206,"slug":662,"count":34},"data-engineering",{"key":664,"label":374,"slug":664,"count":34},"performance-tuning",{"key":666,"label":230,"slug":666,"count":34},"requirements-gathering",{"key":668,"label":84,"slug":668,"count":34},"data-warehousing",{"key":670,"label":172,"slug":670,"count":34},"technical-documentation",{"key":672,"label":548,"slug":672,"count":32},"financial-indices-domain",{"key":674,"label":546,"slug":674,"count":32},"batch-processing",{"key":676,"label":66,"slug":676,"count":32},"data-integration",{"key":678,"label":679,"slug":678,"count":32},"data-transformation","Data Transformation",{"key":681,"label":682,"slug":681,"count":32},"technology-implementation-support","Technology Implementation Support",{"key":684,"label":238,"slug":684,"count":32},"user-acceptance-testing",{"key":686,"label":105,"slug":686,"count":32},"data-visualization",{"key":688,"label":346,"slug":688,"count":32},"observability",{"key":690,"label":691,"slug":690,"count":32},"business-process-documentation","Business Process Documentation",{"key":693,"label":694,"slug":693,"count":32},"etl","Etl",{"key":696,"label":109,"slug":696,"count":32},"risk-management",[698,701,704,707,709,711,713,715,718,721,724,726,728,730,731,732,735,737,740,743,745,747,750,752],{"key":699,"label":48,"slug":699,"count":700},"python",21,{"key":702,"label":47,"slug":702,"count":703},"sql",20,{"key":705,"label":706,"slug":705,"count":620},"aws","Aws",{"key":708,"label":362,"slug":708,"count":645},"java",{"key":710,"label":192,"slug":710,"count":645},"databricks",{"key":712,"label":46,"slug":712,"count":645},"snowflake",{"key":714,"label":283,"slug":714,"count":650},"terraform",{"key":716,"label":717,"slug":716,"count":650},"cicd","Ci\u002FCd",{"key":719,"label":720,"slug":719,"count":655},"pyspark","Pyspark",{"key":722,"label":723,"slug":722,"count":655},"ai-tools","Ai Tools",{"key":725,"label":202,"slug":725,"count":34},"git",{"key":727,"label":132,"slug":727,"count":34},"tableau",{"key":729,"label":255,"slug":729,"count":34},"c",{"key":693,"label":694,"slug":693,"count":34},{"key":729,"label":599,"slug":729,"count":34},{"key":733,"label":734,"slug":733,"count":34},"gcp","Gcp",{"key":736,"label":194,"slug":736,"count":34},"delta-lake",{"key":738,"label":739,"slug":738,"count":34},"ms-powerbi","MS PowerBI",{"key":741,"label":742,"slug":741,"count":34},"ms-azure","MS Azure",{"key":744,"label":540,"slug":744,"count":34},"great-expectations",{"key":746,"label":566,"slug":746,"count":32},"microsoft-copilot",{"key":748,"label":749,"slug":748,"count":32},"low-code-development-platforms","Low-Code Development Platforms",{"key":751,"label":332,"slug":751,"count":32},"kafka",{"key":753,"label":602,"slug":753,"count":32},"jenkins",[755,757,758],{"key":26,"label":26,"count":756},23,{"key":559,"label":559,"count":655},{"key":188,"label":188,"count":33},[760],{"key":29,"label":29,"count":9},{"total":762,"jobs":763},0,[]]