[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-snowflake-in":3,"job-search-\u002Fde-in\u002Fjobs-by-skill\u002Fsnowflake":8,"skill-page-filters-\u002Fde-in\u002Fjobs-by-skill\u002Fsnowflake":758,"featured-jobs-\u002Fde-in\u002Fjobs-by-skill\u002Fsnowflake":911},{"image_path":4,"content_de":5,"content_en":5,"composite_key":6,"last_updated":7},"\u002Fimages\u002Fskill\u002Fsnowflake.webp",null,"skill:snowflake:in","2026-08-17T09:02:57.328950+02:00",{"total":9,"jobs":10},31,[11,88,121,187,231,268,305,341,369,392,437,491,542,572,599,622,672,696,716,734],{"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":93,"processed_country_iso_code_gmaps":94,"processed_home_office":23,"processed_salary_min":95,"processed_salary_max":96,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":97,"processed_employment_types":30,"processed_it_skills":98,"processed_it_skills_labels":99,"processed_job_expertise_skills":110,"processed_job_expertise_skills_labels":111,"max_cpc":87,"actual_cpc":87},88186,"ind-senior-engineer-data-hartford-global-services-private-limited-2","IND Senior Engineer, Data",{"name":17,"slug":18,"logo_url":5},[20],[22],1500000,2500000,[29],{"adk":32,"aws":32,"etl":34,"sql":34,"ci\u002Fcd":32,"python":34,"harness":32,"jenkins":32,"tableau":32,"bigquery":32,"snowflake":34,"terraform":32,"vertex ai":32,"informatica":32,"thoughtspot":32,"cloud functions":32,"google cloud platform":32},[46,47,48,52,100,101,102,54,103,104,105,106,107,108,109,58,50],"Google Cloud Platform","BigQuery","Cloud Functions","Jenkins","Terraform","Harness","ADK","ThoughtSpot","Tableau","Informatica",{"agentic ai":32,"data quality":34,"etl processes":34,"generative ai":32,"data pipelines":34,"data engineering":34,"data integration":34,"data orchestration":32,"data visualization":32,"prompt engineering":32,"model orchestration":32},[112,113,114,66,67,115,116,117,118,119,120],"Data Engineering","Data Pipelines","ETL Processes","Data Visualization","Generative AI","Prompt Engineering","Agentic AI","Model Orchestration","Data Orchestration",{"id":122,"slug":123,"title":124,"raw_title":5,"is_featured":15,"company":125,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":128,"processed_country_iso_code_gmaps":130,"processed_home_office":131,"processed_salary_min":132,"processed_salary_max":133,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":134,"processed_employment_types":30,"processed_it_skills":135,"processed_it_skills_labels":136,"processed_job_expertise_skills":168,"processed_job_expertise_skills_labels":169,"max_cpc":87,"actual_cpc":87},83074,"data-science-and-ai-engineering-lead-vp-f337-deutsche-india-private-limited-pune-branch","Data Science and AI Engineering Lead​, VP",{"name":126,"slug":127,"logo_url":5},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[129],"Pune",[22],"hybrid",5000000,8000000,[29],{"adk":34,"gke":34,"sql":32,"java":32,"flask":34,"neo4j":34,"redis":34,"spark":34,"denodo":34,"github":34,"looker":34,"mlflow":34,"python":34,"fastapi":34,"fastmcp":34,"mongodb":34,"pytorch":34,"vs code":34,"bigquery":34,"cloudsql":34,"pinecone":34,"langchain":34,"langgraph":34,"snowflake":34,"databricks":34,"postgresql":34,"tensorflow":34,"claude code":34,"gcp cloudrun":34,"hugging face":34,"scikit-learn":34,"cloud composer":34,"github copilot":34,"google vertexai":34,"jupyter notebook":34,"weights and biases":34},[48,137,138,139,140,106,141,142,143,144,145,146,147,148,149,150,151,152,153,154,101,155,156,157,158,159,160,161,162,163,164,46,47,165,166,167],"FastAPI","Flask","FastMcp","LangGraph","Google VertexAI","GitHub","VS Code","PyTorch","TensorFlow","scikit-learn","MLflow","Weights and Biases","Jupyter Notebook","Hugging Face","Langchain","Neo4J","GCP CloudRun","GKE","Cloud Composer","CloudSQL","Looker","PostgreSQL","Pinecone","Spark","MongoDB","Redis","Databricks","Denodo","Java","Claude Code","GitHub Copilot",{"deployment":34,"roi analysis":32,"ai governance":34,"api architecture":34,"data engineering":34,"budget management":32,"people management":34,"ai risk management":34,"feature engineering":34,"ai model integration":34,"ai model optimization":34,"data product creation":34,"performance monitoring":34,"testing and validation":34,"research and innovation":34,"ai solution architecture":34,"cross-functional collaboration":34,"cloud infrastructure management":34,"software development lifecycle (sdlc)":34},[170,171,172,173,174,175,176,177,112,178,179,180,181,75,182,183,184,185,186],"AI Solution Architecture","AI Model Integration","AI Model Optimization","API Architecture","Cloud Infrastructure Management","AI Governance","AI Risk Management","Software Development Lifecycle (SDLC)","Feature Engineering","Data Product Creation","Performance Monitoring","Testing and Validation","Research and Innovation","Cross-Functional Collaboration","People Management","Budget Management","ROI Analysis",{"id":188,"slug":189,"title":190,"raw_title":5,"is_featured":15,"company":191,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":194,"processed_country_iso_code_gmaps":196,"processed_home_office":131,"processed_salary_min":197,"processed_salary_max":132,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":198,"processed_employment_types":30,"processed_it_skills":199,"processed_it_skills_labels":200,"processed_job_expertise_skills":218,"processed_job_expertise_skills_labels":219,"max_cpc":87,"actual_cpc":87},83173,"senior-engineer-avp-e901-dws-india-private-limited-bangalore-branch","Senior Engineer, AVP",{"name":192,"slug":193,"logo_url":5},"E901 DWS India Private Limited, Bangalore Branch","e901-dws-india-private-limited-bangalore-branch",[195],"Bangalore",[22],3000000,[29],{"git":32,"sql":34,"java":34,"ci\u002Fcd":32,"kafka":32,"maven":32,"docker":32,"gradle":32,"oracle":34,"python":33,"etl\u002Felt":32,"jenkins":32,"ai tools":33,"rabbitmq":32,"snowflake":32,"jvm tuning":34,"kubernetes":32,"postgresql":34,"spring boot":34,"restful apis":34,"spring cloud":32,"microservices":34,"google cloud platform (gcp)":32,"infrastructure as code (iac)":33},[165,201,202,203,204,205,158,206,46,207,208,209,210,48,211,103,50,212,213,214,47,215,216,217],"Spring Boot","Spring Cloud","RESTful APIs","Microservices","Oracle","Google Cloud Platform (GCP)","Docker","Kubernetes","Kafka","RabbitMQ","Git","Maven","Gradle","JVM tuning","ETL\u002FELT","Infrastructure as Code (IaC)","AI tools",{"algorithms":32,"agile\u002Fscrum":32,"data structures":32,"data engineering":32,"distributed systems":34,"software engineering":34,"performance optimization":34,"cloud-native architecture":34,"event-driven architectures":32,"database performance tuning":34,"architecture and design principles":32,"site reliability engineering (sre)":32},[220,221,222,223,224,225,226,227,112,228,229,230],"Software Engineering","Distributed Systems","Performance Optimization","Database Performance Tuning","Cloud-Native Architecture","Event-Driven Architectures","Agile\u002FScrum","Site Reliability Engineering (SRE)","Architecture and Design Principles","Algorithms","Data Structures",{"id":232,"slug":233,"title":234,"raw_title":5,"is_featured":15,"company":235,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":238,"processed_country_iso_code_gmaps":240,"processed_home_office":131,"processed_salary_min":241,"processed_salary_max":242,"processed_salary_currency":243,"processed_salary_source":27,"processed_working_hours":244,"processed_employment_types":30,"processed_it_skills":245,"processed_it_skills_labels":246,"processed_job_expertise_skills":253,"processed_job_expertise_skills_labels":254,"max_cpc":87,"actual_cpc":87},75123,"product-manager-refinitiv-india-shared-services-private-limited","Product Manager",{"name":236,"slug":237,"logo_url":5},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[239],"Bengaluru",[22],80000,120000,"GBP",[29],{"r":32,"aws":32,"etl":32,"sql":32,"xml":32,"apis":32,"json":32,"azure":32,"oracle":32,"python":32,"snowflake":32,"microsoft sql":32},[48,247,47,205,248,52,249,46,58,250,251,252],"R","Microsoft SQL","Azure","JSON","XML","APIs",{"database design":34,"data warehousing":34,"investment cases":34,"business strategy":34,"client engagement":34,"cloud marketplaces":34,"product management":34,"project management":34,"cost-benefit analysis":34,"financial market data":34,"database administration":34,"logical data model design":34,"product lifecycle management":34,"licensing and data distribution":34},[255,256,257,84,258,259,260,261,262,263,264,265,266,267],"Product Management","Project Management","Financial Market Data","Cloud Marketplaces","Business Strategy","Client Engagement","Product Lifecycle Management","Logical Data Model Design","Database Administration","Database Design","Cost-Benefit Analysis","Licensing and Data Distribution","Investment Cases",{"id":269,"slug":270,"title":271,"raw_title":5,"is_featured":15,"company":272,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":275,"processed_country_iso_code_gmaps":276,"processed_home_office":131,"processed_salary_min":197,"processed_salary_max":132,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":277,"processed_employment_types":30,"processed_it_skills":278,"processed_it_skills_labels":279,"processed_job_expertise_skills":287,"processed_job_expertise_skills_labels":288,"max_cpc":87,"actual_cpc":87},73820,"prin-eng-i-invest-tech-invesco-india-private-limited-sez-unit","Prin. Eng. I, Invest Tech",{"name":273,"slug":274,"logo_url":5},"Invesco (India) Private Limited - SEZ Unit","invesco-india-private-limited-sez-unit",[20],[22],[29],{"aws":34,"sql":34,"uac":32,"java":34,"linux":34,"react":32,"aladdin":32,"autosys":32,"snowflake":34,"spring boot":34,"charles river":32,"api development":32},[165,52,47,46,201,280,281,282,283,284,285,286],"Linux","React","API Development","AutoSys","UAC","Charles River","Aladdin",{"scrum":34,"kanban":34,"code review":34,"design review":34,"etf knowledge":34,"risk management":34,"trading systems":34,"asset management":34,"agile methodologies":34,"distributed systems":34,"systems development":34,"technical leadership":34,"software architecture":34,"continuous integration":34,"engineering best practices":34,"securities industry knowledge":34,"enterprise application integration":34},[289,290,291,292,293,221,294,295,296,297,298,299,300,301,302,303,304],"Systems Development","Software Architecture","Agile Methodologies","Scrum","Kanban","Enterprise Application Integration","Continuous Integration","Securities Industry Knowledge","ETF Knowledge","Trading Systems","Asset Management","Technical Leadership","Code Review","Design Review","Risk Management","Engineering Best Practices",{"id":306,"slug":307,"title":308,"raw_title":5,"is_featured":15,"company":309,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":312,"processed_country_iso_code_gmaps":314,"processed_home_office":23,"processed_salary_min":133,"processed_salary_max":315,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":316,"processed_employment_types":30,"processed_it_skills":317,"processed_it_skills_labels":318,"processed_job_expertise_skills":322,"processed_job_expertise_skills_labels":323,"max_cpc":87,"actual_cpc":87},69146,"vp-finance-technology-ares-operations-india-private-limited","VP, Finance Technology",{"name":310,"slug":311,"logo_url":5},"Ares Operations India Private Limited","ares-operations-india-private-limited",[313],"Mumbai",[22],12000000,[29],{"sql":34,"apis":32,"ci\u002Fcd":32,"python":34,"etl\u002Felt":34,"pyspark":34,"snowflake":34,"databricks":34,"data modeling":34,"data pipelines":34,"cloud data platforms":34,"data governance tools":32},[47,48,319,163,46,215,64,113,252,320,50,321],"PySpark","Cloud Data Platforms","Data Governance Tools",{"fees":34,"waterfalls":34,"allocations":34,"data lineage":34,"fund finance":34,"data controls":34,"fund accounting":34,"reconciliations":34,"team leadership":34,"capital activity":34,"data integration":34,"nav calculations":34,"delivery management":34,"financial reporting":34,"investor accounting":34,"data quality frameworks":34,"enterprise data architecture":34,"fund accounting platforms (geneva, investran)":34},[324,325,326,327,328,329,330,331,332,333,334,335,336,337,338,66,339,340],"Fund Accounting","Fund Finance","NAV Calculations","Investor Accounting","Capital Activity","Allocations","Fees","Waterfalls","Reconciliations","Financial Reporting","Data Quality Frameworks","Data Lineage","Data Controls","Enterprise Data Architecture","Fund Accounting Platforms (Geneva, Investran)","Team Leadership","Delivery Management",{"id":342,"slug":343,"title":344,"raw_title":5,"is_featured":15,"company":345,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":346,"processed_country_iso_code_gmaps":347,"processed_home_office":23,"processed_salary_min":348,"processed_salary_max":197,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":349,"processed_employment_types":30,"processed_it_skills":350,"processed_it_skills_labels":351,"processed_job_expertise_skills":356,"processed_job_expertise_skills_labels":357,"max_cpc":87,"actual_cpc":87},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":17,"slug":18,"logo_url":5},[20],[22],800000,[29],{"aws":32,"emr":32,"gcp":32,"rag":32,"sql":32,"sre":32,"hadoop":32,"python":32,"etl\u002Felt":32,"fastapi":32,"pyspark":32,"pytorch":32,"snowflake":32,"terraform":32,"vertex ai":32,"databricks":32,"informatica":32,"scikit-learn":32},[319,46,163,215,53,52,55,54,47,48,352,109,353,354,137,355,144,104],"SRE","EMR","Hadoop","Scikit-learn",{"ai\u002Fml":32,"applied ai":32,"data analysis":32,"generative ai":32,"ml\u002Fai platforms":32,"data engineering":32,"data reliability":32,"machine learning":32,"big data platforms":32,"agentic ai solutions":32,"statistical modelling":32,"platform administration":32,"site reliability engineering":32},[112,358,359,360,361,362,116,363,364,365,366,367,368],"Data Analysis","Data Reliability","Big Data Platforms","Platform Administration","AI\u002FML","Agentic AI Solutions","Applied AI","Statistical Modelling","Machine Learning","Site Reliability Engineering","ML\u002FAI Platforms",{"id":370,"slug":371,"title":372,"raw_title":5,"is_featured":15,"company":373,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":374,"processed_country_iso_code_gmaps":375,"processed_home_office":131,"processed_salary_min":241,"processed_salary_max":242,"processed_salary_currency":243,"processed_salary_source":27,"processed_working_hours":376,"processed_employment_types":30,"processed_it_skills":377,"processed_it_skills_labels":378,"processed_job_expertise_skills":383,"processed_job_expertise_skills_labels":384,"max_cpc":87,"actual_cpc":87},75089,"senior-analyst-product-usage-analytics-refinitiv-india-shared-services-private-limited","Senior Analyst, Product Usage Analytics",{"name":236,"slug":237,"logo_url":5},[239],[22],[29],{"sql":34,"alteryx":32,"tableau":34,"power bi":34,"etl tools":32,"snowflake":32,"power automate":32},[379,108,47,380,381,382,46],"Power BI","ETL tools","Power Automate","Alteryx",{"reporting":34,"data analysis":34,"data extraction":34,"data management":34,"business insights":34,"data manipulation":34,"data visualization":34,"project management":34,"results presentation":34,"data quality improvement":34},[358,115,385,256,386,387,388,389,390,391],"Business Insights","Data Extraction","Data Manipulation","Data Management","Results Presentation","Data Quality Improvement","Reporting",{"id":393,"slug":394,"title":395,"raw_title":5,"is_featured":15,"company":396,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":399,"processed_country_iso_code_gmaps":400,"processed_home_office":131,"processed_salary_min":133,"processed_salary_max":315,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":401,"processed_employment_types":30,"processed_it_skills":402,"processed_it_skills_labels":403,"processed_job_expertise_skills":420,"processed_job_expertise_skills_labels":421,"max_cpc":87,"actual_cpc":87},83077,"director-india-head-of-architecture-e902-dws-india-private-limited-maharashtra-branch","Director - India Head of Architecture",{"name":397,"slug":398,"logo_url":5},"E902 DWS India Private Limited, Maharashtra Branch","e902-dws-india-private-limited-maharashtra-branch",[129],[22],[29],{"aws":33,"gcp":32,"apis":32,"azure":33,"snowflake":32,"databricks":33,"ai guardrails":32,"ai monitoring":32,"generative ai":32,"observability":32,"prompt design":32,"data pipelines":32,"api integration":32,"model evaluation":32,"agentic workflows":32,"metadata management":32,"architecture as code":34,"cloud-native services":32,"data-quality controls":32,"event-driven integration":32,"human-in-the-loop controls":32,"retrieval-augmented generation":32,"enterprise architecture repositories":32},[53,46,52,249,163,252,404,405,406,407,116,408,409,410,411,412,413,414,415,416,417,418,419],"Cloud-native services","Event-driven integration","Data pipelines","Observability","Prompt design","Retrieval-augmented generation","Agentic workflows","API integration","Model evaluation","AI guardrails","AI monitoring","Human-in-the-loop controls","Architecture as Code","Enterprise architecture repositories","Metadata management","Data-quality controls",{"auditability":32,"cybersecurity":32,"data governance":32,"model governance":32,"ai risk management":32,"ai-based automation":34,"architecture as code":34,"regulatory compliance":32,"risk-based governance":34,"engineering enablement":32,"operational resilience":32,"architecture governance":34,"secure software delivery":32,"technology risk management":32,"financial services experience":32,"organizational transformation":34},[422,423,424,416,425,426,427,428,429,430,431,432,433,434,435,436],"Architecture governance","Organizational transformation","AI-based automation","Risk-based governance","Financial services experience","Regulatory compliance","Cybersecurity","Technology risk management","Operational resilience","Auditability","Data governance","AI risk management","Model governance","Secure software delivery","Engineering enablement",{"id":438,"slug":439,"title":91,"raw_title":5,"is_featured":15,"company":440,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":441,"processed_country_iso_code_gmaps":442,"processed_home_office":131,"processed_salary_min":96,"processed_salary_max":443,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":444,"processed_employment_types":30,"processed_it_skills":445,"processed_it_skills_labels":446,"processed_job_expertise_skills":472,"processed_job_expertise_skills_labels":473,"max_cpc":87,"actual_cpc":87},78821,"ind-senior-engineer-data-hartford-global-services-private-limited",{"name":17,"slug":18,"logo_url":5},[20],[22],4000000,[29],{"a2a":34,"aws":34,"mcp":34,"rdf":34,"sql":34,"azure":34,"ci\u002Fcd":34,"neo4j":34,"nosql":34,"spark":34,"aws s3":34,"cypher":34,"docker":34,"python":34,"sparql":34,"aws ec2":34,"mongodb":34,"pytorch":32,"big data":34,"dynamodb":34,"data lake":34,"data mesh":34,"langchain":34,"langgraph":34,"snowflake":34,"aws lambda":34,"kubernetes":34,"tensorflow":32,"aws kinesis":34,"data fabric":34,"apache kafka":34,"document dbs":34,"etl\u002Felt tools":34,"gcp vertex ai":34,"spanner graph":34,"amazon neptune":34,"aws opensearch":34,"graph databases":34,"spark streaming":34,"vector databases":34,"google cloud platform":34},[447,448,449,47,450,46,451,50,452,52,100,249,48,160,453,454,455,207,208,144,145,56,57,456,457,458,459,460,461,161,462,463,464,465,466,140,467,468,469,470,471],"Apache Kafka","AWS Kinesis","Spark Streaming","NoSQL","ETL\u002FELT tools","Big Data","Data Mesh","Data Lake","Data Fabric","Document DBs","AWS OpenSearch","GCP Vertex AI","Neo4j","Spanner Graph","Amazon Neptune","DynamoDB","AWS Lambda","AWS S3","AWS EC2","LangChain","MCP","A2A","Cypher","SPARQL","RDF",{"devops":34,"data lakes":34,"data domains":34,"data lineage":34,"data quality":34,"scaled agile":34,"data products":34,"generative ai":34,"data catalogue":34,"data governance":34,"cloud technology":34,"data engineering":34,"data integration":34,"data warehousing":34,"knowledge graphs":34,"data architecture":34,"semantic modeling":34,"prompt engineering":34,"business intelligence":34,"reliability engineering":34,"synthetic data generation":34,"ai-driven data engineering":34,"insurance domain knowledge":32,"retrieval-augmented generation (rag)":34},[112,474,84,66,475,476,477,478,479,116,480,117,481,482,483,484,67,335,485,486,487,488,489,490],"Data Architecture","Data Lakes","Data Domains","Data Products","Business Intelligence","Cloud Technology","Retrieval-Augmented Generation (RAG)","Semantic Modeling","Knowledge Graphs","Synthetic Data Generation","Data Governance","Data Catalogue","AI-driven Data Engineering","DevOps","Reliability Engineering","Scaled Agile","Insurance Domain Knowledge",{"id":492,"slug":493,"title":14,"raw_title":5,"is_featured":15,"company":494,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":495,"processed_country_iso_code_gmaps":496,"processed_home_office":23,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":497,"processed_employment_types":30,"processed_it_skills":498,"processed_it_skills_labels":499,"processed_job_expertise_skills":515,"processed_job_expertise_skills_labels":516,"max_cpc":87,"actual_cpc":87},78804,"ind-lead-software-engineer-hartford-global-services-private-limited-4",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"a2a":32,"adk":32,"mcp":32,"nexus":33,"numpy":32,"crewai":32,"github":32,"pandas":32,"python":34,"airflow":33,"asyncio":32,"fastapi":32,"pytorch":32,"mcp-scan":33,"pydantic":32,"checkmarx":33,"langchain":32,"langgraph":32,"snowflake":33,"sonarqube":33,"terraform":32,"aws bedrock":32,"hugging face":32,"aws sagemaker":32,"opentelemetry":32,"apache iceberg":33,"google vertex ai":32},[48,144,150,500,501,502,503,504,104,142,505,506,507,508,46,509,510,511,137,512,513,466,140,514,106,468,467],"Pandas","NumPy","AWS SageMaker","AWS Bedrock","Google Vertex AI","Nexus","SonarQube","Checkmarx","mcp-scan","Airflow","Apache Iceberg","OpenTelemetry","Pydantic","asyncio","CrewAI",{"hyde":32,"safe":32,"ci\u002Fcd":32,"mlops":34,"devops":32,"raptor":32,"pub\u002Fsub":32,"graphrag":32,"devsecops":32,"agentic ai":34,"agentic rag":34,"rag systems":34,"generative ai":34,"microservices":32,"observability":32,"data pipelines":33,"ml engineering":34,"api development":32,"bias mitigation":33,"drift monitoring":32,"llm architecture":34,"model evaluation":32,"automated testing":33,"adaptive prompting":32,"canary deployments":33,"agile methodologies":32,"context engineering":32,"distributed systems":32,"rollback strategies":33,"counterfactual testing":33,"infrastructure as code":32,"multi-agent coordination":32,"disparate impact analysis":33,"event-driven architecture":32,"point-to-point architecture":32},[517,518,519,116,118,520,521,522,523,524,525,526,527,487,50,528,529,291,530,221,531,532,533,282,204,534,407,535,536,537,538,113,539,540,541],"ML Engineering","MLOps","LLM Architecture","RAG Systems","Agentic RAG","Context Engineering","Adaptive Prompting","Multi-agent Coordination","HyDE","RAPTOR","GraphRAG","Infrastructure as Code","DevSecOps","SAFe","Event-driven Architecture","Pub\u002FSub","Point-to-point Architecture","Model Evaluation","Drift Monitoring","Automated Testing","Canary Deployments","Rollback Strategies","Bias Mitigation","Disparate Impact Analysis","Counterfactual Testing",{"id":543,"slug":544,"title":545,"raw_title":5,"is_featured":15,"company":546,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":549,"processed_country_iso_code_gmaps":550,"processed_home_office":23,"processed_salary_min":241,"processed_salary_max":242,"processed_salary_currency":551,"processed_salary_source":27,"processed_working_hours":552,"processed_employment_types":30,"processed_it_skills":553,"processed_it_skills_labels":554,"processed_job_expertise_skills":559,"processed_job_expertise_skills_labels":560,"max_cpc":87,"actual_cpc":87},78895,"associate-radar-data-analytics-rc-tiaa-global-capabilities-private-limited-2","Associate - RADaR – Data & Analytics, R&C",{"name":547,"slug":548,"logo_url":5},"TIAA Global Capabilities Private Limited","tiaa-global-capabilities-private-limited",[313],[22],"USD",[29],{"aws":32,"sql":34,"java":32,"react":33,"gitlab":32,"oracle":32,"pl\u002Fsql":32,"python":34,"autosys":33,"control-m":33,"snowflake":33},[165,281,555,48,47,52,46,205,556,557,558],"GitLab","PL\u002FSQL","Autosys","Control-M",{"etl":34,"barra":32,"debugging":32,"automation":32,"riskmetrics":32,"data analysis":34,"risk analytics":34,"risk reporting":32,"system testing":32,"risk management":34,"data warehousing":34,"business analysis":32,"msci risk metrics":32,"financial products":32,"technology systems":32,"financial markets knowledge":34},[58,84,303,561,562,563,564,565,566,567,568,358,72,569,570,571],"Financial Markets Knowledge","RiskMetrics","Barra","MSCI Risk Metrics","Financial Products","Risk Analytics","System Testing","Debugging","Business Analysis","Risk Reporting","Technology Systems",{"id":573,"slug":574,"title":575,"raw_title":5,"is_featured":15,"company":576,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":579,"processed_country_iso_code_gmaps":580,"processed_home_office":131,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":581,"processed_employment_types":30,"processed_it_skills":582,"processed_it_skills_labels":583,"processed_job_expertise_skills":593,"processed_job_expertise_skills_labels":594,"max_cpc":87,"actual_cpc":87},75087,"data-engineerpythonawssql-lseg","Data Engineer(Python\u002FAWS\u002FSQL)",{"name":577,"slug":578,"logo_url":5},"LSEG","lseg",[239],[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},[48,52,47,211,50,584,319,585,165,586,587,588,104,589,590,591,510,592,163,46],"Apache Spark","Scala","C++","Go","Rust","AWS CDK","Great Expectations","Deequ","Delta Lake",{"etl":32,"data modeling":34,"batch processing":32,"schema evolution":32,"agile methodologies":32,"investment analytics":33,"software engineering":34,"financial indices domain":33},[220,64,58,595,596,291,597,598],"Batch Processing","Schema Evolution","Financial Indices Domain","Investment Analytics",{"id":600,"slug":601,"title":602,"raw_title":5,"is_featured":15,"company":603,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":604,"processed_country_iso_code_gmaps":605,"processed_home_office":131,"processed_salary_min":197,"processed_salary_max":132,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":606,"processed_employment_types":30,"processed_it_skills":607,"processed_it_skills_labels":608,"processed_job_expertise_skills":610,"processed_job_expertise_skills_labels":611,"max_cpc":87,"actual_cpc":87},78805,"ind-lead-engineer-data-hartford-global-services-private-limited","IND Lead Engineer, Data",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"a2a":34,"mcp":34,"rdf":34,"sql":34,"ci\u002Fcd":34,"neo4j":34,"nosql":34,"aws s3":34,"cypher":34,"docker":34,"python":34,"sparql":34,"aws ec2":34,"mongodb":34,"pytorch":32,"big data":34,"dynamodb":34,"langchain":34,"langgraph":34,"snowflake":34,"aws lambda":34,"kubernetes":34,"tensorflow":32,"aws kinesis":34,"apache kafka":34,"apache spark":34,"etl\u002Felt tools":34,"gcp vertex ai":34,"spanner graph":34,"amazon neptune":34,"aws opensearch":34,"graph databases":34,"vector databases":34,"cloud technologies (aws\u002Fgcp\u002Fazure)":34},[48,47,450,46,451,50,452,609,584,447,448,207,208,144,145,56,57,459,461,161,462,463,464,465,466,140,467,468,469,470,471,457,458,460],"Cloud Technologies (AWS\u002FGCP\u002FAzure)",{"ai\u002Fml":34,"devops":34,"alerting":34,"analytics":34,"data mesh":34,"data lakes":34,"monitoring":34,"redundancy":34,"data fabric":34,"data catalog":34,"data domains":34,"data lineage":34,"data quality":34,"scaled agile":34,"data products":34,"generative ai":34,"data governance":34,"fault tolerance":34,"data engineering":34,"data integration":34,"data warehousing":34,"knowledge graphs":34,"agentic solutions":34,"data architecture":34,"disaster recovery":34,"semantic modeling":34,"prompt engineering":34,"incident management":34,"business intelligence":34,"reliability engineering":34,"real-time data streaming":34,"synthetic data generation":34,"insurance domain knowledge":32,"unstructured data processing":34,"retrieval-augmented generation (rag)":34},[112,474,84,66,475,476,477,478,484,67,335,612,116,480,117,481,482,483,613,489,487,488,614,615,616,617,618,619,453,455,86,620,362,621,490],"Data Catalog","Agentic Solutions","Disaster Recovery","Fault Tolerance","Redundancy","Monitoring","Alerting","Incident Management","Real-Time Data Streaming","Analytics",{"id":623,"slug":624,"title":625,"raw_title":5,"is_featured":15,"company":626,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":627,"processed_country_iso_code_gmaps":628,"processed_home_office":131,"processed_salary_min":24,"processed_salary_max":25,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":629,"processed_employment_types":30,"processed_it_skills":630,"processed_it_skills_labels":631,"processed_job_expertise_skills":644,"processed_job_expertise_skills_labels":645,"max_cpc":87,"actual_cpc":87},78814,"ind-staff-engineer-data-hartford-global-services-private-limited","IND Staff Engineer, Data",{"name":17,"slug":18,"logo_url":5},[20],[22],[29],{"api":32,"aws":32,"elt":32,"emr":32,"etl":32,"git":32,"sql":32,"java":32,"sdlc":32,"agile":32,"kafka":32,"scala":32,"scrum":32,"spark":32,"devops":32,"docker":32,"finops":32,"hadoop":32,"kanban":32,"python":32,"talend":32,"jenkins":32,"tableau":32,"tealium":32,"big data":32,"devsecops":32,"snowflake":32,"terraform":32,"kubernetes":32,"data studio":32,"informatica":32,"adobe analytics":32,"cloud computing":32,"data warehousing":32,"google analytics":32,"automated testing":32,"distributed systems":32,"environment management":32},[52,354,353,160,209,46,632,47,48,165,585,633,634,635,108,636,109,487,529,637,292,293,211,103,207,208,104,638,58,639,84,452,640,221,641,642,536,643],"Talend","Google Analytics","Adobe Analytics","Tealium","Data Studio","Agile","API","ELT","Cloud Computing","SDLC","FinOps","Environment Management",{"mentoring":34,"data mining":34,"roadmapping":34,"data analytics":34,"issue tracking":34,"tag management":34,"data structures":34,"solution design":34,"data engineering":34,"data integration":34,"devops practices":34,"access management":34,"automated testing":34,"digital analytics":34,"finops principles":34,"knowledge sharing":34,"portfolio strategy":34,"project management":34,"agile methodologies":34,"continuous delivery":34,"distributed systems":34,"cloud infrastructure":34,"emerging technologies":34,"technology evaluation":34,"big data methodologies":34,"continuous integration":34,"environment management":34,"source code management":34,"code quality management":34,"technical documentation":34,"data pipeline development":34,"technology recommendation":34,"best practices development":34,"technical requirements gathering":34,"software development life cycle (sdlc)":34},[112,646,66,647,230,648,649,650,651,291,652,653,221,295,654,655,656,657,658,659,660,256,661,662,663,536,643,664,665,666,667,668,669,670,671],"Data Pipeline Development","Data Mining","Data Analytics","Digital Analytics","Tag Management","Software Development Life Cycle (SDLC)","DevOps Practices","Cloud Infrastructure","Continuous Delivery","Source Code Management","Issue Tracking","Access Management","Technical Documentation","Technical Requirements Gathering","Solution Design","Portfolio Strategy","Roadmapping","FinOps Principles","Code Quality Management","Big Data Methodologies","Emerging Technologies","Technology Evaluation","Technology Recommendation","Best Practices Development","Mentoring","Knowledge Sharing",{"id":673,"slug":674,"title":675,"raw_title":5,"is_featured":15,"company":676,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":677,"processed_country_iso_code_gmaps":678,"processed_home_office":23,"processed_salary_min":443,"processed_salary_max":679,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":680,"processed_employment_types":30,"processed_it_skills":681,"processed_it_skills_labels":682,"processed_job_expertise_skills":686,"processed_job_expertise_skills_labels":687,"max_cpc":87,"actual_cpc":87},59659,"manager-site-reliability-engineering-ind201-refinitiv-india-shared-services-private-limited-2","Manager, Site Reliability Engineering",{"name":236,"slug":237,"logo_url":5},[239],[22],6000000,[29],{"aws":34,"ci\u002Fcd":34,"docker":34,"datadog":32,"jenkins":32,"bigpanda":32,"snowflake":32,"terraform":34,"kubernetes":34,"observability":34,"opentelemetry":32,"github actions":32,"incident management":34,"infrastructure as code":34},[52,208,207,104,683,103,684,685,511,50,528,407,619,46],"GitHub Actions","Datadog","BigPanda",{"itil":32,"devops":34,"iso 27001":32,"cost optimization":32,"disaster recovery":34,"people management":34,"financial services":32,"cloud native services":34,"production operations":34,"cloud financial management":32,"business continuity planning":34,"site reliability engineering":34},[367,688,487,184,689,614,690,691,692,693,694,695],"Production Operations","Cloud Native Services","Business Continuity Planning","ITIL","ISO 27001","Cost Optimization","Cloud Financial Management","Financial Services",{"id":697,"slug":698,"title":699,"raw_title":5,"is_featured":15,"company":700,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":701,"processed_country_iso_code_gmaps":702,"processed_home_office":23,"processed_salary_min":242,"processed_salary_max":703,"processed_salary_currency":551,"processed_salary_source":27,"processed_working_hours":704,"processed_employment_types":30,"processed_it_skills":705,"processed_it_skills_labels":706,"processed_job_expertise_skills":711,"processed_job_expertise_skills_labels":712,"max_cpc":87,"actual_cpc":87},59642,"lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":236,"slug":237,"logo_url":5},[239],[22],180000,[29],{"c":32,"c#":32,"go":32,"aws":34,"c++":32,"cdk":32,"git":34,"sql":34,"java":32,"rust":32,"ci\u002Fcd":34,"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},[48,52,47,211,50,104,319,165,707,708,586,585,587,588,584,510,592,163,46,709,103,683,710,590,591],"C#","C","GitLab CI","CDK",{"etl":32,"design":34,"data modeling":34,"observability":34,"schema design":34,"batch processing":32,"software architecture":34,"stakeholder management":32,"financial indices domain":32},[290,713,64,58,595,714,407,597,715],"Design","Schema Design","Stakeholder Management",{"id":717,"slug":718,"title":719,"raw_title":5,"is_featured":15,"company":720,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":721,"processed_country_iso_code_gmaps":722,"processed_home_office":23,"processed_salary_min":723,"processed_salary_max":724,"processed_salary_currency":551,"processed_salary_source":27,"processed_working_hours":725,"processed_employment_types":30,"processed_it_skills":726,"processed_it_skills_labels":727,"processed_job_expertise_skills":728,"processed_job_expertise_skills_labels":729,"max_cpc":87,"actual_cpc":87},59643,"sr-lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Sr Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":236,"slug":237,"logo_url":5},[239],[22],100000,150000,[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},[48,52,47,165,707,708,586,585,587,588,584,319,510,592,163,46,709,103,683,104,710,590,591],{"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},[290,730,50,74,731,732,64,58,596,595,597,598,733],"System Design","Refactoring","Secure Development","Portfolio Management",{"id":735,"slug":736,"title":737,"raw_title":5,"is_featured":15,"company":738,"raw_hiringOrganization_logo_url":5,"processed_city_gmaps":741,"processed_country_iso_code_gmaps":742,"processed_home_office":23,"processed_salary_min":95,"processed_salary_max":96,"processed_salary_currency":26,"processed_salary_source":27,"processed_working_hours":743,"processed_employment_types":30,"processed_it_skills":744,"processed_it_skills_labels":745,"processed_job_expertise_skills":749,"processed_job_expertise_skills_labels":750,"max_cpc":87,"actual_cpc":757},49354,"sql-developer-sr-analyst-mufg-global-service-private-limited","SQL Developer - Sr Analyst",{"name":739,"slug":740,"logo_url":5},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[239],[22],[29],{"sql":34,"ssis":34,"ssrs":32,"ci\u002Fcd":33,"oracle":33,"python":33,"power bi":32,"control-m":33,"snowflake":33,"powershell":33},[47,746,747,379,48,748,46,205,558,50],"SSIS","SSRS","PowerShell",{"etl\u002Felt":34,"data security":32,"data integration":34,"data warehousing":34,"devops practices":33,"performance tuning":34,"query optimization":34,"star schema design":34,"agile methodologies":33,"dimensional modeling":34,"execution plan analysis":34},[84,751,752,753,754,755,215,66,756,291,652],"Dimensional Modeling","Star Schema Design","Performance Tuning","Query Optimization","Execution Plan Analysis","Data Security",0.3,{"industry":759,"employment_type":779,"expertise_skills":782,"it_skills":843,"salary_currency":905,"processed_working_hours":909},[760,764,767,770,774,777],{"key":761,"label":762,"count":763},"insurance","Insurance",10,{"key":765,"label":766,"count":763},"financial markets infrastructure","Financial Markets Infrastructure",{"key":768,"label":695,"count":769},"financial services",9,{"key":771,"label":772,"count":773},"data","Data",6,{"key":775,"label":776,"count":34},"data provider","Data Provider",{"key":778,"label":299,"count":33},"asset management",[780],{"key":30,"label":781,"count":9},"PERMANENT",[783,786,789,791,794,796,799,802,805,808,810,812,814,816,818,821,824,827,830,832,834,836,839,841],{"key":784,"label":112,"slug":784,"count":785},"data-engineering",11,{"key":787,"label":84,"slug":787,"count":788},"data-warehousing",8,{"key":790,"label":66,"slug":790,"count":788},"data-integration",{"key":792,"label":64,"slug":792,"count":793},"data-modeling",7,{"key":795,"label":291,"slug":795,"count":793},"agile-methodologies",{"key":797,"label":798,"slug":797,"count":793},"project-management","Project management",{"key":800,"label":801,"slug":800,"count":773},"devops","Devops",{"key":803,"label":804,"slug":803,"count":773},"generative-ai","Generative Ai",{"key":806,"label":221,"slug":806,"count":807},"distributed-systems",5,{"key":809,"label":117,"slug":809,"count":807},"prompt-engineering",{"key":811,"label":67,"slug":811,"count":807},"data-quality",{"key":813,"label":366,"slug":813,"count":807},"machine-learning",{"key":815,"label":407,"slug":815,"count":34},"observability",{"key":817,"label":367,"slug":817,"count":34},"site-reliability-engineering",{"key":819,"label":820,"slug":819,"count":34},"mlops","Mlops",{"key":822,"label":823,"slug":822,"count":34},"cicd","Ci\u002FCd",{"key":825,"label":826,"slug":825,"count":34},"infrastructure-as-code","Infrastructure As Code",{"key":828,"label":829,"slug":828,"count":34},"etl","Etl",{"key":831,"label":115,"slug":831,"count":32},"data-visualization",{"key":833,"label":484,"slug":833,"count":32},"data-governance",{"key":835,"label":358,"slug":835,"count":32},"data-analysis",{"key":837,"label":838,"slug":837,"count":32},"agentic-ai","Agentic Ai",{"key":840,"label":113,"slug":840,"count":32},"data-pipelines",{"key":842,"label":335,"slug":842,"count":32},"data-lineage",[844,846,849,852,856,859,861,863,865,867,869,871,874,877,880,883,885,887,889,892,895,898,900,902],{"key":845,"label":46,"slug":845,"count":9},"snowflake",{"key":847,"label":47,"slug":847,"count":848},"sql",26,{"key":850,"label":48,"slug":850,"count":851},"python",24,{"key":853,"label":854,"slug":853,"count":855},"aws","Aws",21,{"key":857,"label":104,"slug":857,"count":858},"terraform",15,{"key":822,"label":823,"slug":822,"count":860},12,{"key":862,"label":207,"slug":862,"count":763},"docker",{"key":864,"label":103,"slug":864,"count":763},"jenkins",{"key":866,"label":165,"slug":866,"count":763},"java",{"key":868,"label":163,"slug":868,"count":763},"databricks",{"key":870,"label":208,"slug":870,"count":763},"kubernetes",{"key":872,"label":873,"slug":872,"count":788},"pytorch","Pytorch",{"key":875,"label":876,"slug":875,"count":793},"github-actions","Github Actions",{"key":878,"label":879,"slug":878,"count":793},"ms-azure","MS Azure",{"key":881,"label":882,"slug":881,"count":793},"gcp","Gcp",{"key":146,"label":884,"slug":146,"count":773},"Scikit-Learn",{"key":886,"label":160,"slug":886,"count":773},"spark",{"key":888,"label":151,"slug":888,"count":773},"langchain",{"key":890,"label":891,"slug":890,"count":773},"pyspark","Pyspark",{"key":893,"label":894,"slug":893,"count":773},"tensorflow","Tensorflow",{"key":896,"label":897,"slug":896,"count":807},"langgraph","Langgraph",{"key":899,"label":108,"slug":899,"count":807},"tableau",{"key":901,"label":510,"slug":901,"count":807},"apache-iceberg",{"key":903,"label":904,"slug":903,"count":807},"fastapi","Fastapi",[906,907,908],{"key":26,"label":26,"count":851},{"key":551,"label":551,"count":807},{"key":243,"label":243,"count":33},[910],{"key":29,"label":29,"count":9},{"total":912,"jobs":913},0,[]]