[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-microsoft-fabric-in":3,"job-search-\u002Fde-in\u002Fjobs-by-skill\u002Fmicrosoft-fabric":8,"skill-page-filters-\u002Fde-in\u002Fjobs-by-skill\u002Fmicrosoft-fabric":277,"featured-jobs-\u002Fde-in\u002Fjobs-by-skill\u002Fmicrosoft-fabric":403},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fskill\u002Fmicrosoft-fabric.webp",null,"skill:microsoft-fabric:in","2026-08-17T09:06:25.829213+02:00",{"total":9,"jobs":10},7,[11,70,111,157,180,208,248],{"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":34,"processed_job_expertise_skills":55,"processed_job_expertise_skills_labels":56,"max_cpc":69,"actual_cpc":69},80126,"data-engineer-consultant-ii-allstate-india-pvt-ltd","Data Engineer Consultant II",false,{"name":17,"slug":18,"logo_url":5},"Allstate India Pvt Ltd","allstate-india-pvt-ltd",[20],"Bengaluru",[22],"IN","onsite",1500000,2500000,"INR","estimated",[29],"FULL_TIME","permanent",{"sql":32,"ci\u002Fcd":33,"python":32,"etl\u002Felt":32,"one lake":33,"data lakes":33,"apache spark":32,"data modeling":32,"data governance":33,"fault tolerance":33,"version control":33,"microsoft fabric":33,"performance tuning":32,"metadata management":33,"orchestration tools":33,"infrastructure as code":33,"data quality frameworks":33,"lakehouse architectures":33,"distributed data processing":32,"workflow management systems":33},4,3,[35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"Apache Spark","Python","SQL","Microsoft Fabric","One Lake","CI\u002FCD","Version Control","Infrastructure as Code","Data Lakes","Lakehouse Architectures","ETL\u002FELT","Data Modeling","Distributed Data Processing","Performance Tuning","Fault Tolerance","Orchestration Tools","Workflow Management Systems","Data Governance","Metadata Management","Data Quality Frameworks",{"data security":33,"agile delivery":33,"design reviews":33,"data compliance":33,"sprint planning":33,"batch processing":32,"data engineering":32,"data transformation":32,"continuous improvement":33,"data quality assurance":32,"data pipeline development":32,"streaming data processing":32},[57,58,59,60,61,62,63,64,65,66,67,68],"Data Engineering","Data Pipeline Development","Batch Processing","Streaming Data Processing","Data Transformation","Data Quality Assurance","Data Security","Data Compliance","Agile Delivery","Sprint Planning","Design Reviews","Continuous Improvement",1,{"id":71,"slug":72,"title":73,"raw_title":5,"is_featured":15,"company":74,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":75,"processed_country_iso_code_gmaps":77,"processed_home_office":78,"processed_salary_min":24,"processed_salary_max":79,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":80,"processed_employment_types":30,"processed_it_skills":81,"processed_it_skills_labels":83,"processed_job_expertise_skills":102,"processed_job_expertise_skills_labels":103,"max_cpc":69,"actual_cpc":69},80131,"full-stack-developer-consultantsenior-consultant-allstate-india-pvt-ltd","Full Stack Developer Consultant\u002FSenior Consultant",{"name":17,"slug":18,"logo_url":5},[76],"Pune",[22],"hybrid",3000000,[29],{"git":32,"npm":33,"sql":32,"tdd":32,"java":32,"saml":33,"kafka":33,"maven":33,"oauth":33,"owasp":33,"gradle":33,"openid":33,"python":82,"jenkins":33,"react.js":32,"rest apis":32,"artifactory":33,"spring boot":32,"microservices":32,"microsoft fabric":82,"observability tools":82},2,[84,85,86,37,87,38,88,89,90,91,92,93,94,95,96,97,98,99,100,101,36],"Java","Spring Boot","React.js","TDD","Kafka","Observability tools","REST APIs","Microservices","OAuth","OWASP","OpenID","SAML","Git","Maven","Gradle","npm","Artifactory","Jenkins",{"ci\u002Fcd":32,"api security":33,"database design":33,"agile methodologies":32,"distributed systems":32,"software architecture":32,"full stack development":32,"performance optimization":33},[104,105,106,107,108,40,109,110],"Full Stack Development","Software Architecture","Distributed Systems","API Security","Agile Methodologies","Performance Optimization","Database Design",{"id":112,"slug":113,"title":114,"raw_title":5,"is_featured":15,"company":115,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":118,"processed_country_iso_code_gmaps":120,"processed_home_office":78,"processed_salary_min":121,"processed_salary_max":122,"processed_salary_currency":123,"processed_salary_source":27,"processed_working_hours":124,"processed_employment_types":30,"processed_it_skills":125,"processed_it_skills_labels":126,"processed_job_expertise_skills":137,"processed_job_expertise_skills_labels":138,"max_cpc":69,"actual_cpc":69},69144,"senior-data-solutions-engineer-finance-technology-ares-operations-india-private-limited","Senior Data Solutions Engineer, Finance Technology",{"name":116,"slug":117,"logo_url":5},"Ares Operations India Private Limited","ares-operations-india-private-limited",[119],"Mumbai",[22],120000,180000,"USD",[29],{"git":33,"apis":33,"json":33,"ci\u002Fcd":33,"spark":33,"python":32,"etl\u002Felt":32,"pyspark":32,"databricks":32,"delta lake":33,"sql server":32,"azure devops":33,"data modeling":32,"microsoft fabric":33,"azure data factory":33,"azure data lake storage":33},[127,128,36,129,130,96,131,132,133,38,134,40,45,46,135,136],"SQL Server","Databricks","PySpark","APIs","Azure Data Factory","Azure Data Lake Storage","Azure DevOps","JSON","Spark","Delta Lake",{"accounting":33,"auditability":33,"data lineage":33,"data quality":32,"reconciliation":32,"data governance":33,"fund accounting":32,"asset management":33,"data engineering":32,"data integration":32,"automated testing":33,"stored procedures":32,"financial services":32,"performance tuning":32,"metadata management":33,"deployment pipelines":33,"financial technology":32,"secure file transfer":33,"business intelligence":33,"investment operations":33,"master data management":33,"data product management":33},[139,57,140,141,142,52,143,144,145,146,147,148,149,150,53,151,152,48,153,154,155,156],"Fund Accounting","Financial Technology","Data Quality","Reconciliation","Data Product Management","Business Intelligence","Financial Services","Asset Management","Investment Operations","Accounting","Data Integration","Data Lineage","Master Data Management","Auditability","Stored Procedures","Automated Testing","Deployment Pipelines","Secure File Transfer",{"id":158,"slug":159,"title":160,"raw_title":5,"is_featured":15,"company":161,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":162,"processed_country_iso_code_gmaps":163,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":164,"processed_employment_types":30,"processed_it_skills":165,"processed_it_skills_labels":166,"processed_job_expertise_skills":170,"processed_job_expertise_skills_labels":171,"max_cpc":69,"actual_cpc":69},69138,"data-analyst-finance-technology-ares-operations-india-private-limited","Data Analyst, Finance Technology",{"name":116,"slug":117,"logo_url":5},[119],[22],[29],{"sql":32,"python":33,"pyspark":33,"power bi":33,"databricks":33,"microsoft excel":32,"microsoft fabric":33,"azure data services":33},[37,167,128,36,129,168,38,169],"Microsoft Excel","Power BI","Azure data services",{"etl\u002Felt":33,"data modeling":33,"data governance":32,"fund accounting":32,"asset management":33,"business analysis":32,"release management":33,"data reconciliation":32,"financial reporting":33,"metadata management":33,"accounting principles":33,"data quality analysis":32,"investment operations":33,"requirements gathering":32,"data product management":32,"user acceptance testing (uat)":32},[139,52,143,172,173,174,175,176,45,46,177,146,147,178,179,53],"Business Analysis","Requirements Gathering","Data Reconciliation","Data Quality Analysis","User Acceptance Testing (UAT)","Financial Reporting","Accounting Principles","Release Management",{"id":181,"slug":182,"title":183,"raw_title":5,"is_featured":15,"company":184,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":187,"processed_country_iso_code_gmaps":188,"processed_home_office":23,"processed_salary_min":189,"processed_salary_max":190,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":191,"processed_employment_types":30,"processed_it_skills":192,"processed_it_skills_labels":193,"processed_job_expertise_skills":197,"processed_job_expertise_skills_labels":198,"max_cpc":69,"actual_cpc":69},49328,"data-management-and-analyticsassistant-vice-president-mufg-global-service-private-limited","Data Management and Analytics_Assistant Vice President",{"name":185,"slug":186,"logo_url":5},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[20],[22],4000000,6000000,[29],{"sql":32,"ci\u002Fcd":33,"devops":33,"python":32,"onelake":33,"azure sql":33,"databricks":33,"microsoft fabric":33,"azure data factory":33},[37,36,38,131,194,128,195,40,196],"Azure SQL","OneLake","DevOps",{"data governance":33,"risk management":33,"etl\u002Felt processing":32,"performance tuning":32,"production support":32,"root cause analysis":32,"regulatory reporting":33,"reporting layer design":32,"financial data modelling":32,"data ingestion frameworks":32,"data warehouse architecture":32},[199,200,201,202,203,204,48,205,52,206,207],"Data Warehouse Architecture","Financial Data Modelling","ETL\u002FELT Processing","Data Ingestion Frameworks","Reporting Layer Design","Production Support","Root Cause Analysis","Regulatory Reporting","Risk Management",{"id":209,"slug":210,"title":211,"raw_title":5,"is_featured":15,"company":212,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":215,"processed_country_iso_code_gmaps":216,"processed_home_office":78,"processed_salary_min":25,"processed_salary_max":217,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":218,"processed_employment_types":30,"processed_it_skills":219,"processed_it_skills_labels":220,"processed_job_expertise_skills":240,"processed_job_expertise_skills_labels":241,"max_cpc":69,"actual_cpc":69},75108,"senior-enterprise-tools-engineer-refinitiv-india-shared-services-private-limited","Senior Enterprise Tools Engineer",{"name":213,"slug":214,"logo_url":5},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[20],[22],3500000,[29],{"aws":32,"dbt":82,"sql":32,"delta":33,"kafka":32,"aws s3":33,"python":32,"clarity":82,"iceberg":33,"kinesis":33,"parquet":33,"aws glue":33,"planview":82,"snowpark":82,"snowflake":32,"terraform":82,"aws lambda":33,"servicenow":82,"monte carlo":82,"atlassian tools":82,"fabric notebooks":82,"microsoft fabric":32,"great expectations":82},[37,36,221,38,222,88,223,224,225,226,227,228,229,230,231,232,233,234,235,236,237,238,239],"Snowflake","AWS","Kinesis","Parquet","Delta","Iceberg","AWS S3","AWS Glue","AWS Lambda","Snowpark","Fabric Notebooks","dbt","Terraform","Great Expectations","Monte Carlo","Atlassian tools","Clarity","Planview","ServiceNow",{"etl\u002Felt":32,"data modeling":32,"data engineering":32,"automated testing":33,"knowledge sharing":33,"performance tuning":32,"project management":33,"agile methodologies":33,"data quality practices":33,"lakehouse architecture":32,"technical documentation":33,"architectural principles":33},[57,45,46,48,242,108,243,154,244,245,246,247],"Lakehouse Architecture","Data Quality Practices","Technical Documentation","Knowledge Sharing","Architectural Principles","Project Management",{"id":249,"slug":250,"title":251,"raw_title":5,"is_featured":15,"company":252,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":253,"processed_country_iso_code_gmaps":254,"processed_home_office":23,"processed_salary_min":255,"processed_salary_max":217,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":256,"processed_employment_types":30,"processed_it_skills":257,"processed_it_skills_labels":258,"processed_job_expertise_skills":267,"processed_job_expertise_skills_labels":268,"max_cpc":69,"actual_cpc":276},75111,"senior-reliability-engineer-refinitiv-india-shared-services-private-limited","Senior Reliability Engineer",{"name":213,"slug":214,"logo_url":5},[20],[22],2000000,[29],{"azure":32,"ci\u002Fcd":32,"python":33,"rest api":33,"terraform":33,"automation":32,"monitoring":32,"powershell":33,"observability":32,"microsoft fabric":33,"microsoft purview":33,"azure resource manager":33},[259,38,260,233,261,36,262,263,40,264,265,266],"Azure","Microsoft Purview","Azure Resource Manager","PowerShell","REST API","Monitoring","Observability","Automation",{"devops":32,"finops":33,"itil framework":33,"capacity planning":33,"incident management":32,"security compliance":33,"disaster recovery planning":33,"site reliability engineering":32},[269,196,270,271,272,273,274,275],"Site Reliability Engineering","Incident Management","ITIL Framework","Disaster Recovery Planning","Capacity Planning","FinOps","Security Compliance",0.3,{"industry":278,"employment_type":290,"expertise_skills":293,"it_skills":344,"salary_currency":397,"processed_working_hours":401},[279,281,284,287],{"key":280,"label":145,"count":33},"financial services",{"key":282,"label":283,"count":82},"financial markets infrastructure","Financial Markets Infrastructure",{"key":285,"label":286,"count":82},"data","Data",{"key":288,"label":289,"count":82},"insurance","Insurance",[291],{"key":30,"label":292,"count":9},"PERMANENT",[294,296,298,300,302,304,306,309,311,313,315,317,319,321,323,325,327,329,331,333,335,338,340,342],{"key":295,"label":57,"slug":295,"count":33},"data-engineering",{"key":297,"label":52,"slug":297,"count":33},"data-governance",{"key":299,"label":48,"slug":299,"count":33},"performance-tuning",{"key":301,"label":146,"slug":301,"count":82},"asset-management",{"key":303,"label":108,"slug":303,"count":82},"agile-methodologies",{"key":305,"label":143,"slug":305,"count":82},"data-product-management",{"key":307,"label":308,"slug":307,"count":82},"etlelt","Etl\u002FElt",{"key":310,"label":147,"slug":310,"count":82},"investment-operations",{"key":312,"label":53,"slug":312,"count":82},"metadata-management",{"key":314,"label":139,"slug":314,"count":82},"fund-accounting",{"key":316,"label":154,"slug":316,"count":82},"automated-testing",{"key":318,"label":46,"slug":318,"count":82},"data-modeling",{"key":320,"label":62,"slug":320,"count":69},"data-quality-assurance",{"key":322,"label":140,"slug":322,"count":69},"financial-technology",{"key":324,"label":200,"slug":324,"count":69},"financial-data-modelling",{"key":326,"label":145,"slug":326,"count":69},"financial-services",{"key":328,"label":110,"slug":328,"count":69},"database-design",{"key":330,"label":177,"slug":330,"count":69},"financial-reporting",{"key":332,"label":68,"slug":332,"count":69},"continuous-improvement",{"key":334,"label":242,"slug":334,"count":69},"lakehouse-architecture",{"key":336,"label":337,"slug":336,"count":69},"project-management","Project management",{"key":339,"label":149,"slug":339,"count":69},"data-integration",{"key":341,"label":64,"slug":341,"count":69},"data-compliance",{"key":343,"label":207,"slug":343,"count":69},"risk-management",[345,347,349,352,355,357,358,360,362,365,366,368,370,372,374,377,378,381,384,387,389,390,392,394],{"key":346,"label":36,"slug":346,"count":9},"python",{"key":348,"label":38,"slug":348,"count":9},"microsoft-fabric",{"key":350,"label":37,"slug":350,"count":351},"sql",5,{"key":353,"label":354,"slug":353,"count":32},"cicd","Ci\u002FCd",{"key":356,"label":128,"slug":356,"count":33},"databricks",{"key":307,"label":308,"slug":307,"count":82},{"key":359,"label":233,"slug":359,"count":82},"terraform",{"key":361,"label":88,"slug":361,"count":82},"kafka",{"key":363,"label":364,"slug":363,"count":82},"pyspark","Pyspark",{"key":318,"label":46,"slug":318,"count":82},{"key":367,"label":96,"slug":367,"count":82},"git",{"key":369,"label":131,"slug":369,"count":82},"azure-data-factory",{"key":371,"label":264,"slug":371,"count":69},"monitoring",{"key":373,"label":234,"slug":373,"count":69},"great-expectations",{"key":375,"label":376,"slug":375,"count":69},"aws-glue","Aws Glue",{"key":312,"label":53,"slug":312,"count":69},{"key":379,"label":380,"slug":379,"count":69},"azure-devops","Azure Devops",{"key":382,"label":383,"slug":382,"count":69},"owasp","Owasp",{"key":385,"label":386,"slug":385,"count":69},"servicenow","Servicenow",{"key":388,"label":49,"slug":388,"count":69},"fault-tolerance",{"key":297,"label":52,"slug":297,"count":69},{"key":391,"label":224,"slug":391,"count":69},"parquet",{"key":393,"label":265,"slug":393,"count":69},"observability",{"key":395,"label":396,"slug":395,"count":69},"tdd","Tdd",[398,400],{"key":26,"label":26,"count":399},6,{"key":123,"label":123,"count":69},[402],{"key":29,"label":29,"count":9},{"total":404,"jobs":405},0,[]]