[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-snowflake-global":3,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fsnowflake?page=10":4,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fsnowflake?page=10":275,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fsnowflake?page=10":905},{},{"industry":5,"employment_type":61,"expertise_skills":73,"it_skills":158,"salary_currency":240,"processed_working_hours":269},[6,10,14,18,22,26,30,34,38,41,45,48,51,55,58],{"key":7,"label":8,"count":9},"insurance","Insurance",85,{"key":11,"label":12,"count":13},"financial services","Financial Services",61,{"key":15,"label":16,"count":17},"financial markets infrastructure","Financial Markets Infrastructure",25,{"key":19,"label":20,"count":21},"asset management","Asset Management",19,{"key":23,"label":24,"count":25},"data","Data",18,{"key":27,"label":28,"count":29},"banking","Banking",17,{"key":31,"label":32,"count":33},"data provider","Data Provider",7,{"key":35,"label":36,"count":37},"risk management","Risk Management",4,{"key":39,"label":40,"count":37},"financial technology","Financial Technology",{"key":42,"label":43,"count":44},"reinsurance","Reinsurance",2,{"key":46,"label":47,"count":44},"fund administration","Fund Administration",{"key":49,"label":50,"count":44},"middle office","Middle Office",{"key":52,"label":53,"count":54},"wealth management","Wealth Management",1,{"key":56,"label":57,"count":54},"financial market infrastructure","Financial Market Infrastructure",{"key":59,"label":60,"count":54},"alternative asset management","Alternative Asset Management",[62,66,70],{"key":63,"label":64,"count":65},"permanent","PERMANENT",191,{"key":67,"label":68,"count":69},"student","STUDENT",11,{"key":71,"label":72,"count":54},"temporary","TEMPORARY",[74,78,82,86,90,94,97,101,105,109,112,114,118,121,124,128,131,135,138,142,145,148,151,155],{"key":75,"label":76,"slug":75,"count":77},"data-engineering","Data Engineering",64,{"key":79,"label":80,"slug":79,"count":81},"data-governance","Data Governance",60,{"key":83,"label":84,"slug":83,"count":85},"data-modeling","Data Modeling",37,{"key":87,"label":88,"slug":87,"count":89},"data-warehousing","Data Warehousing",34,{"key":91,"label":92,"slug":91,"count":93},"data-architecture","Data Architecture",32,{"key":95,"label":96,"slug":95,"count":93},"data-quality","Data Quality",{"key":98,"label":99,"slug":98,"count":100},"data-analysis","Data Analysis",30,{"key":102,"label":103,"slug":102,"count":104},"agile-methodologies","Agile Methodologies",27,{"key":106,"label":107,"slug":106,"count":108},"project-management","Project management",26,{"key":110,"label":111,"slug":110,"count":17},"data-integration","Data Integration",{"key":113,"label":36,"slug":113,"count":17},"risk-management",{"key":115,"label":116,"slug":115,"count":117},"regulatory-compliance","Regulatory Compliance",22,{"key":119,"label":120,"slug":119,"count":21},"machine-learning","Machine Learning",{"key":122,"label":123,"slug":122,"count":29},"data-lineage","Data Lineage",{"key":125,"label":126,"slug":125,"count":127},"business-intelligence","Business Intelligence",16,{"key":129,"label":130,"slug":129,"count":127},"data-visualization","Data Visualization",{"key":132,"label":133,"slug":132,"count":134},"data-management","Data Management",15,{"key":136,"label":137,"slug":136,"count":134},"generative-ai","Generative Ai",{"key":139,"label":140,"slug":139,"count":141},"etl","Etl",14,{"key":143,"label":144,"slug":143,"count":141},"vendor-management","Vendor Management",{"key":146,"label":147,"slug":146,"count":141},"data-analytics","Data Analytics",{"key":149,"label":150,"slug":149,"count":141},"observability","Observability",{"key":152,"label":153,"slug":152,"count":154},"compliance","Compliance",13,{"key":156,"label":157,"slug":156,"count":154},"business-analysis","Business Analysis",[159,163,167,171,175,179,183,187,191,195,198,202,205,208,211,214,217,221,224,225,228,231,234,237],{"key":160,"label":161,"slug":160,"count":162},"snowflake","Snowflake",204,{"key":164,"label":165,"slug":164,"count":166},"sql","SQL",140,{"key":168,"label":169,"slug":168,"count":170},"python","Python",139,{"key":172,"label":173,"slug":172,"count":174},"aws","Aws",93,{"key":176,"label":177,"slug":176,"count":178},"ms-azure","MS Azure",59,{"key":180,"label":181,"slug":180,"count":182},"databricks","Databricks",58,{"key":184,"label":185,"slug":184,"count":186},"cicd","Ci\u002FCd",54,{"key":188,"label":189,"slug":188,"count":190},"ms-powerbi","MS PowerBI",39,{"key":192,"label":193,"slug":192,"count":194},"terraform","Terraform",38,{"key":196,"label":197,"slug":196,"count":89},"java","Java",{"key":199,"label":200,"slug":199,"count":201},"kafka","Kafka",33,{"key":203,"label":204,"slug":203,"count":93},"tableau","Tableau",{"key":206,"label":207,"slug":206,"count":100},"kubernetes","Kubernetes",{"key":209,"label":210,"slug":209,"count":108},"docker","Docker",{"key":212,"label":213,"slug":212,"count":108},"gcp","Gcp",{"key":215,"label":216,"slug":215,"count":17},"dbt","Dbt",{"key":218,"label":219,"slug":218,"count":220},"spark","Spark",24,{"key":222,"label":223,"slug":222,"count":220},"airflow","Airflow",{"key":139,"label":140,"slug":139,"count":117},{"key":226,"label":227,"slug":226,"count":117},"git","Git",{"key":229,"label":230,"slug":229,"count":21},"oracle","Oracle",{"key":232,"label":233,"slug":232,"count":25},"pyspark","Pyspark",{"key":235,"label":236,"slug":235,"count":127},"postgresql","Postgresql",{"key":238,"label":239,"slug":238,"count":127},"c","C#",[241,244,246,248,250,253,256,258,261,263,265,267],{"key":242,"label":242,"count":243},"USD",103,{"key":245,"label":245,"count":104},"EUR",{"key":247,"label":247,"count":220},"INR",{"key":249,"label":249,"count":21},"GBP",{"key":251,"label":251,"count":252},"PHP",10,{"key":254,"label":254,"count":255},"CAD",8,{"key":257,"label":257,"count":37},"SGD",{"key":259,"label":259,"count":260},"AUD",3,{"key":262,"label":262,"count":44},"CHF",{"key":264,"label":264,"count":44},"HKD",{"key":266,"label":266,"count":54},"MYR",{"key":268,"label":268,"count":54},"JPY",[270,273],{"key":271,"label":271,"count":272},"FULL_TIME",203,{"key":274,"label":274,"count":54},"PART_TIME",{"total":162,"jobs":276},[277,331,369,383,425,457,487,511,571,592,614,633,653,685,718,751,786,817,849,878],{"id":278,"slug":279,"title":280,"raw_title":281,"is_featured":282,"company":283,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":286,"processed_country_iso_code_gmaps":288,"processed_home_office":290,"processed_salary_min":291,"processed_salary_max":292,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":294,"processed_employment_types":63,"processed_it_skills":295,"processed_it_skills_labels":296,"processed_job_expertise_skills":321,"processed_job_expertise_skills_labels":322,"max_cpc":54,"actual_cpc":54},47506,"senior-engineer-investment-technology-group-services-inc","Senior Engineer, Investment Technology",null,false,{"name":284,"slug":285,"logo_url":281},"Invesco Group Services, INC.","invesco-group-services-inc",[287],"Houston",[289],"US","hybrid",130000,180000,"estimated",[271],{"aws":37,"git":260,"nlp":260,"sql":260,"uac":260,"java":37,"ci\u002Fcd":37,"junit":260,"maven":260,"react":260,"athena":260,"gradle":260,"jmeter":260,"python":260,"airflow":260,"angular":260,"autosys":260,"jenkins":260,"kubectl":44,"postgres":260,"selenium":260,"langchain":260,"snowflake":260,"sonarqube":260,"powershell":44,"sql server":260,"artifactory":260,"openai apis":260,"amazon bedrock":260,"bitbucket pipelines":260},[197,297,298,227,299,300,301,302,303,304,305,306,169,307,308,165,161,309,310,311,312,313,314,223,315,316,317,318,319,320],"AWS","CI\u002FCD","Bitbucket Pipelines","Jenkins","Maven","Gradle","SonarQube","Artifactory","React","Angular","PowerShell","Kubectl","Postgres","Athena","SQL Server","JUnit","Selenium","JMeter","Autosys","UAC","NLP","LangChain","Amazon Bedrock","OpenAI APIs",{"agile development":37,"ai-first approach":260,"devsecops practices":37,"system integrations":37,"cloud-based solutions":37,"object-oriented programming":37,"full-stack software development":37,"software development lifecycle (sdlc)":37},[323,324,325,326,327,328,329,330],"Full-stack software development","Software development lifecycle (SDLC)","Object-oriented programming","Cloud-based solutions","System integrations","Agile development","DevSecOps practices","AI-first approach",{"id":332,"slug":333,"title":334,"raw_title":281,"is_featured":282,"company":335,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":338,"processed_country_iso_code_gmaps":340,"processed_home_office":342,"processed_salary_min":343,"processed_salary_max":292,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":344,"processed_employment_types":63,"processed_it_skills":345,"processed_it_skills_labels":346,"processed_job_expertise_skills":362,"processed_job_expertise_skills_labels":363,"max_cpc":54,"actual_cpc":54},67213,"staff-software-engineerai-ml-hartford-global-services-private-limited","Staff Software Engineer\u002FAI-ML",{"name":336,"slug":337,"logo_url":281},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[339],"Hyderabad",[341],"IN","onsite",120000,[271],{"c#":260,"aws":37,"ec2":260,"gcp":37,"sql":260,"hive":260,"java":260,"spark":260,"docker":260,"github":37,"hadoop":260,"python":37,"autosys":260,"jenkins":260,"anaconda":260,"bigquery":260,"redshift":260,"sagemaker":260,"snowflake":260,"streamlit":260,"terraform":260,"kubernetes":260,"tensorflow":260,"scikit-learn":260,"apache airflow":260,"cloudformation":260,"github actions":37},[169,197,239,165,297,347,348,349,300,193,350,351,352,353,219,354,355,161,356,357,315,210,207,358,359,360,361],"GCP","SageMaker","Streamlit","CloudFormation","GitHub","GitHub Actions","Hadoop","Hive","Redshift","BigQuery","Apache Airflow","EC2","TensorFlow","Scikit-learn","Anaconda",{"agile":260,"ci\u002Fcd":37,"mlops":37,"data engineering":37,"machine learning":37,"solution architecture":37,"model development lifecycle":37,"data structures and algorithms":37},[120,364,76,365,298,366,367,368],"MLOps","Solution Architecture","Model Development Lifecycle","Agile","Data Structures and Algorithms",{"id":370,"slug":371,"title":372,"raw_title":281,"is_featured":282,"company":373,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":374,"processed_country_iso_code_gmaps":375,"processed_home_office":342,"processed_salary_min":376,"processed_salary_max":291,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":377,"processed_employment_types":63,"processed_it_skills":378,"processed_it_skills_labels":379,"processed_job_expertise_skills":380,"processed_job_expertise_skills_labels":381,"max_cpc":54,"actual_cpc":54},67212,"staff-engineerai-ml-engineer-hartford-global-services-private-limited","Staff Engineer\u002FAI-ML Engineer",{"name":336,"slug":337,"logo_url":281},[339],[341],90000,[271],{"c#":260,"aws":37,"ec2":260,"gcp":37,"sql":260,"hive":260,"java":260,"spark":260,"docker":260,"github":37,"hadoop":260,"python":37,"autosys":260,"jenkins":260,"anaconda":260,"bigquery":260,"redshift":260,"sagemaker":260,"snowflake":260,"streamlit":260,"terraform":260,"kubernetes":260,"tensorflow":260,"scikit-learn":260,"apache airflow":260,"cloudformation":260,"github actions":37},[169,197,239,165,297,347,348,349,300,193,350,351,352,353,219,354,355,161,356,357,315,210,207,358,359,360,361],{"mlops":37,"insurance":260,"agile framework":260,"data engineering":37,"machine learning":37,"financial services":260,"solution architecture":37,"model development lifecycle":37},[120,364,76,365,366,382,12,8],"Agile Framework",{"id":384,"slug":385,"title":386,"raw_title":281,"is_featured":282,"company":387,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":390,"processed_country_iso_code_gmaps":392,"processed_home_office":290,"processed_salary_min":393,"processed_salary_max":394,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":395,"processed_employment_types":63,"processed_it_skills":396,"processed_it_skills_labels":397,"processed_job_expertise_skills":415,"processed_job_expertise_skills_labels":416,"max_cpc":54,"actual_cpc":54},83789,"senior-staff-machine-learning-engineer-government-employees-insurance-company","Senior Staff Machine Learning Engineer",{"name":388,"slug":389,"logo_url":281},"Government Employees Insurance Company","government-employees-insurance-company",[391],"Palo Alto",[289],150000,300000,[271],{"c#":37,"aws":37,"c++":37,"ray":37,"java":37,"azure":37,"kafka":37,"python":37,"qdrant":37,"mongodb":37,"testing":37,"temporal":37,"cassandra":37,"snowflake":37,"kubernetes":37,"postgresql":37,"apache spark":37,"elasticsearch":37,"apache airflow":37,"ci\u002Fcd pipelines":37,"version control":37,"production support":37,"monitoring & alerting":37,"robotic process automation":37,"llms (gpt, llama, mistral, claude)":37},[197,398,169,239,399,400,161,200,401,402,403,404,405,357,406,407,408,409,207,410,411,412,413,297,414],"C++","Elasticsearch","Qdrant","PostgreSQL","MongoDB","Cassandra","Apache Spark","Ray","Temporal","Robotic Process Automation","Version Control","CI\u002FCD Pipelines","Testing","Monitoring & Alerting","Production Support","Azure","LLMs (GPT, Llama, Mistral, Claude)",{"system design":37,"team leadership":37,"troubleshooting":37,"cloud architecture":37,"technical roadmapping":37,"generative ai technologies":37,"ai\u002Fml platform architecture":37,"software development life cycle management":37},[417,418,419,420,421,422,423,424],"AI\u002FML Platform Architecture","Software Development Life Cycle Management","Cloud Architecture","Generative AI Technologies","System Design","Technical Roadmapping","Team Leadership","Troubleshooting",{"id":426,"slug":427,"title":428,"raw_title":281,"is_featured":282,"company":429,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":432,"processed_country_iso_code_gmaps":434,"processed_home_office":342,"processed_salary_min":393,"processed_salary_max":435,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":436,"processed_employment_types":63,"processed_it_skills":437,"processed_it_skills_labels":438,"processed_job_expertise_skills":446,"processed_job_expertise_skills_labels":447,"max_cpc":54,"actual_cpc":54},60060,"principal-cloud-data-architect-usa016-refinitiv-us-llc","Principal - Cloud Data Architect",{"name":430,"slug":431,"logo_url":281},"Refinitiv US LLC","refinitiv-us-llc",[433],"Allen",[289],200000,[271],{"aws":37,"gcp":260,"sql":37,"azure":37,"hbase":260,"kafka":37,"python":37,"airflow":37,"graphql":260,"kinesis":260,"mongodb":37,"cosmosdb":260,"dataflow":260,"dynamodb":37,"snowflake":37,"databricks":37},[165,169,297,413,347,200,439,440,223,402,441,442,443,444,161,445],"Kinesis","DataFlow","DynamoDB","HBase","CosmosDB","GraphQL","DataBricks",{"nosql":37,"privacy":37,"security":37,"data quality":37,"cloud services":37,"data governance":37,"data management":37,"data integration":37,"data warehousing":37,"data architecture":37,"predictive modeling":260,"relational modeling":37,"prescriptive modeling":260,"master data management":37,"real-time data distribution":37},[92,133,111,96,80,448,449,450,451,452,453,454,88,455,456],"Master Data Management","Security","Privacy","Relational Modeling","Real-time Data Distribution","NoSQL","Cloud Services","Prescriptive Modeling","Predictive Modeling",{"id":458,"slug":459,"title":460,"raw_title":281,"is_featured":282,"company":461,"raw_hiringOrganization_logo_url":464,"processed_city_gmaps":465,"processed_country_iso_code_gmaps":467,"processed_home_office":290,"processed_salary_min":469,"processed_salary_max":343,"processed_salary_currency":245,"processed_salary_source":293,"processed_working_hours":470,"processed_employment_types":63,"processed_it_skills":471,"processed_it_skills_labels":472,"processed_job_expertise_skills":477,"processed_job_expertise_skills_labels":478,"max_cpc":54,"actual_cpc":54},41017,"senior-data-platform-engineer-pepperstone","Senior Data Platform Engineer",{"name":462,"slug":463,"logo_url":281},"Pepperstone","pepperstone","https:\u002F\u002Fworkablehr.s3.amazonaws.com\u002Fuploads\u002Faccount\u002Flogo\u002F564195\u002Flogo",[466],"Lemesos",[468],"CY",80000,[271],{"aws":37,"sql":37,"java":260,"ci\u002Fcd":260,"kafka":37,"scala":260,"python":37,"debezium":37,"snowflake":37,"terraform":37,"apache flink":37,"github actions":260,"infrastructure as code":37},[169,165,193,200,473,474,161,297,352,298,475,197,476],"Apache Flink","Debezium","Infrastructure as Code","Scala",{"finops":260,"observability":260,"data governance":260,"event streaming":37,"incident response":260,"stream processing":37,"change data capture":37,"cloud data warehousing":37,"model context protocol":44,"data platform engineering":37},[479,480,481,482,483,484,80,485,150,486],"Data Platform Engineering","Event Streaming","Stream Processing","Cloud Data Warehousing","Change Data Capture","FinOps","Incident Response","Model Context Protocol",{"id":488,"slug":489,"title":490,"raw_title":281,"is_featured":282,"company":491,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":494,"processed_country_iso_code_gmaps":496,"processed_home_office":342,"processed_salary_min":376,"processed_salary_max":291,"processed_salary_currency":249,"processed_salary_source":293,"processed_working_hours":498,"processed_employment_types":63,"processed_it_skills":499,"processed_it_skills_labels":500,"processed_job_expertise_skills":502,"processed_job_expertise_skills_labels":503,"max_cpc":54,"actual_cpc":54},52787,"data-science-manager-14101-arch-europe-insurance-services-ltd","Data Science Manager",{"name":492,"slug":493,"logo_url":281},"Arch Europe Insurance Services Ltd","arch-europe-insurance-services-ltd",[495],"London",[497],"GB",[271],{"sql":37,"azure":260,"python":37,"powerbi":260,"snowflake":260,"databricks":260},[169,165,501,181,161,413],"PowerBI",{"gbm":37,"glm":37,"data mining":37,"machine learning":37,"project management":260,"predictive modeling":37,"london market experience":37,"natural language processing":37,"insurance industry knowledge":37},[456,120,504,505,506,507,508,509,510],"Natural Language Processing","GLM","GBM","Data Mining","Project Management","Insurance Industry Knowledge","London Market Experience",{"id":512,"slug":513,"title":514,"raw_title":281,"is_featured":282,"company":515,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":516,"processed_country_iso_code_gmaps":517,"processed_home_office":290,"processed_salary_min":518,"processed_salary_max":519,"processed_salary_currency":247,"processed_salary_source":293,"processed_working_hours":520,"processed_employment_types":63,"processed_it_skills":521,"processed_it_skills_labels":522,"processed_job_expertise_skills":545,"processed_job_expertise_skills_labels":546,"max_cpc":54,"actual_cpc":54},51724,"ind-staff-software-engineer-hartford-global-services-private-limited-3","IND Staff Software Engineer",{"name":336,"slug":337,"logo_url":281},[339],[341],3000000,5000000,[271],{"s3":260,"a2a":37,"adk":37,"emr":260,"mcp":37,"glue":260,"ci\u002Fcd":260,"nexus":260,"numpy":37,"crewai":37,"docker":260,"github":260,"pandas":37,"python":37,"airflow":260,"fastapi":37,"pytorch":37,"mcp-scan":260,"pydantic":37,"redshift":260,"checkmarx":260,"langchain":37,"langgraph":37,"snowflake":260,"sonarqube":260,"terraform":260,"kubernetes":260,"aws bedrock":37,"hugging face":37,"aws sagemaker":37,"opentelemetry":260,"apache iceberg":260,"google vertex ai":37},[169,523,524,525,526,527,528,529,193,351,530,531,532,318,533,534,535,536,537,210,207,298,538,303,539,540,161,223,541,542,543,355,544],"PyTorch","Hugging Face","Pandas","NumPy","FastAPI","Pydantic","OpenTelemetry","AWS SageMaker","AWS Bedrock","Google Vertex AI","LangGraph","CrewAI","ADK","A2A","MCP","Nexus","Checkmarx","mcp-scan","S3","Glue","EMR","Apache Iceberg",{"hyde":37,"safe":37,"mlops":37,"devops":37,"raptor":37,"pub\u002Fsub":37,"graphrag":37,"devsecops":37,"agentic ai":37,"agentic rag":37,"rag systems":37,"generative ai":37,"data pipelines":260,"bias mitigation":260,"drift monitoring":37,"llm architecture":37,"machine learning":37,"model evaluation":37,"adaptive prompting":37,"agile methodologies":37,"context engineering":37,"distributed systems":37,"counterfactual testing":260,"infrastructure as code":37,"multi-agent coordination":37,"disparate impact analysis":260,"event-driven architecture":37,"point-to-point architecture":37},[120,364,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,475,103,566,567,568,569,570],"LLM Architecture","Generative AI","Agentic AI","RAG Systems","Agentic RAG","Context Engineering","Adaptive Prompting","Multi-Agent Coordination","HyDE","RAPTOR","GraphRAG","Model Evaluation","Drift Monitoring","Distributed Systems","Event-Driven Architecture","Pub\u002FSub","Point-to-Point Architecture","DevOps","DevSecOps","SAFe","Data Pipelines","Bias Mitigation","Disparate Impact Analysis","Counterfactual Testing",{"id":572,"slug":573,"title":574,"raw_title":281,"is_featured":282,"company":575,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":576,"processed_country_iso_code_gmaps":578,"processed_home_office":290,"processed_salary_min":343,"processed_salary_max":579,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":580,"processed_employment_types":63,"processed_it_skills":581,"processed_it_skills_labels":582,"processed_job_expertise_skills":584,"processed_job_expertise_skills_labels":585,"max_cpc":54,"actual_cpc":54},47434,"principal-business-analyst-investment-technology-group-services-inc","Principal Business Analyst-Investment Technology",{"name":284,"slug":285,"logo_url":281},[577],"Atlanta",[289],160000,[271],{"sql":37,"snowflake":260,"reporting\u002Fanalytics tools":260},[165,161,583],"Reporting\u002FAnalytics Tools",{"data concepts":37,"agile delivery":37,"business analysis":37,"esg domain knowledge":260,"regulatory reporting":260,"requirements definition":37,"financial services experience":37},[157,586,587,588,589,590,591],"Requirements Definition","Agile Delivery","Data Concepts","ESG Domain Knowledge","Financial Services Experience","Regulatory Reporting",{"id":593,"slug":594,"title":595,"raw_title":281,"is_featured":282,"company":596,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":599,"processed_country_iso_code_gmaps":601,"processed_home_office":290,"processed_salary_min":469,"processed_salary_max":603,"processed_salary_currency":254,"processed_salary_source":293,"processed_working_hours":604,"processed_employment_types":63,"processed_it_skills":605,"processed_it_skills_labels":606,"processed_job_expertise_skills":609,"processed_job_expertise_skills_labels":610,"max_cpc":54,"actual_cpc":54},47458,"senior-engineer-digital-distribution-amp-engagement-canada-ltd","Senior Engineer – Digital Distribution & Engagement",{"name":597,"slug":598,"logo_url":281},"Invesco Canada Ltd.","invesco-canada-ltd",[600],"Charlottetown",[602],"CA",85000,[271],{"aws":37,"sql":37,"ci\u002Fcd":260,"github":260,"python":37,"ai tools":44,"bitbucket":260,"snowflake":37,"apache airflow":37},[297,357,165,169,161,351,607,298,608],"Bitbucket","AI tools",{"etl\u002Felt":37,"data modeling":37,"data engineering":37,"data warehousing":37,"agile methodologies":260,"architecture documentation":260,"financial industry knowledge":260},[76,84,88,611,612,103,613],"ETL\u002FELT","Architecture Documentation","Financial Industry Knowledge",{"id":615,"slug":616,"title":617,"raw_title":281,"is_featured":282,"company":618,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":619,"processed_country_iso_code_gmaps":620,"processed_home_office":290,"processed_salary_min":393,"processed_salary_max":435,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":621,"processed_employment_types":63,"processed_it_skills":622,"processed_it_skills_labels":623,"processed_job_expertise_skills":625,"processed_job_expertise_skills_labels":626,"max_cpc":54,"actual_cpc":54},47512,"senior-principal-solutions-architect-data-platform-group-services-inc","Senior Principal Solutions Architect, Data Platform",{"name":284,"slug":285,"logo_url":281},[287],[289],[271],{"aws":37,"azure":260,"python":260,"tableau":260,"power bi":260,"snowflake":260,"terraform":260,"powershell":260,"sql server":260},[297,413,311,161,624,204,193,169,307],"Power BI",{"sdlc":260,"compliance":260,"data quality":37,"ai governance":37,"data governance":37,"risk management":260,"solution design":37,"vendor management":260,"data observability":37,"project management":260,"agile methodologies":260,"metadata management":37,"enterprise architecture":37},[627,628,80,96,629,630,631,36,153,144,508,103,632],"Enterprise Architecture","Solution Design","Data Observability","Metadata Management","AI Governance","SDLC",{"id":634,"slug":635,"title":636,"raw_title":281,"is_featured":282,"company":637,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":640,"processed_country_iso_code_gmaps":642,"processed_home_office":342,"processed_salary_min":644,"processed_salary_max":644,"processed_salary_currency":266,"processed_salary_source":293,"processed_working_hours":645,"processed_employment_types":67,"processed_it_skills":646,"processed_it_skills_labels":647,"processed_job_expertise_skills":648,"processed_job_expertise_skills_labels":649,"max_cpc":54,"actual_cpc":54},63618,"business-intelligence-intern-ytl-digital-bank-berhad-registration-no-202201037182-1482879-p","Business Intelligence Intern",{"name":638,"slug":639,"logo_url":281},"YTL Digital Bank Berhad (Registration No. 202201037182 (1482879-P))","ytl-digital-bank-berhad-registration-no-202201037182-1482879-p",[641],"Kuala Lumpur",[643],"MY",0,[271],{"dbt":44,"sql":260,"python":44,"tableau":44,"power bi":44,"snowflake":44},[165,169,204,624,215,161],{"data mapping":44,"documentation":44,"business analysis":44,"quality assurance":44,"data visualization":44},[130,157,650,651,652],"Data Mapping","Documentation","Quality Assurance",{"id":654,"slug":655,"title":656,"raw_title":281,"is_featured":282,"company":657,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":660,"processed_country_iso_code_gmaps":662,"processed_home_office":342,"processed_salary_min":663,"processed_salary_max":664,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":665,"processed_employment_types":63,"processed_it_skills":666,"processed_it_skills_labels":667,"processed_job_expertise_skills":673,"processed_job_expertise_skills_labels":674,"max_cpc":54,"actual_cpc":54},53629,"database-administrator-iv-first-financial-bank","Database Administrator IV",{"name":658,"slug":659,"logo_url":281},"first financial bank","first-financial-bank",[661],"Springdale",[289],107000,142760,[271],{"azure":260,"snowflake":44,"azure devops\u002Ftfs":260,"microsoft fabric":44,"microsoft sql server":37,"sql server reporting services (ssrs)":37,"sql server integration services (ssis)":37},[668,669,670,413,671,161,672],"Microsoft SQL Server","SQL Server Reporting Services (SSRS)","SQL Server Integration Services (SSIS)","Azure DevOps\u002FTFS","Microsoft Fabric",{"agile\u002Fscrum":260,"data modeling":260,"etl processes":37,"sox compliance":260,"data warehousing":260,"capacity planning":260,"change management":260,"database security":37,"disaster recovery":37,"performance tuning":37,"backup and recovery":37,"database administration":37},[675,676,677,678,679,680,88,84,681,682,683,684],"Database Administration","Database Security","Backup and Recovery","Disaster Recovery","Performance Tuning","ETL Processes","Capacity Planning","SOX Compliance","Change Management","Agile\u002FScrum",{"id":686,"slug":687,"title":688,"raw_title":281,"is_featured":282,"company":689,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":692,"processed_country_iso_code_gmaps":694,"processed_home_office":342,"processed_salary_min":695,"processed_salary_max":696,"processed_salary_currency":247,"processed_salary_source":293,"processed_working_hours":697,"processed_employment_types":63,"processed_it_skills":698,"processed_it_skills_labels":699,"processed_job_expertise_skills":707,"processed_job_expertise_skills_labels":708,"max_cpc":54,"actual_cpc":54},59635,"engineer-site-reliability-engineering-ind201-refinitiv-india-shared-services-private-limited-2","Engineer, Site Reliability Engineering",{"name":690,"slug":691,"logo_url":281},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[693],"Bangalore",[341],2000000,3500000,[271],{"aws":37,"bash":260,"azure":37,"docker":37,"python":260,"datadog":37,"jenkins":260,"bigpanda":260,"azure sql":260,"cosmos db":260,"snowflake":260,"terraform":37,"kubernetes":37,"servicenow":260,"opentelemetry":260,"github actions":37,"kong api gateway":260},[207,210,193,352,300,700,529,701,702,161,703,704,169,705,413,297,706],"Datadog","BigPanda","Kong API Gateway","Azure SQL","Cosmos DB","Bash","ServiceNow",{"compliance":260,"observability":37,"itil practices":260,"sre principles":37,"audit readiness":260,"ci\u002Fcd pipelines":37,"cost efficiency":260,"incident response":37,"service management":260,"root cause analysis":37,"infrastructure as code":37,"site reliability engineering":37},[709,710,711,712,713,475,714,715,150,716,153,717],"Site Reliability Engineering","SRE principles","Incident response","Root cause analysis","CI\u002FCD pipelines","ITIL practices","Service management","Cost efficiency","Audit readiness",{"id":719,"slug":720,"title":721,"raw_title":281,"is_featured":282,"company":722,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":723,"processed_country_iso_code_gmaps":725,"processed_home_office":290,"processed_salary_min":343,"processed_salary_max":726,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":727,"processed_employment_types":63,"processed_it_skills":728,"processed_it_skills_labels":729,"processed_job_expertise_skills":741,"processed_job_expertise_skills_labels":742,"max_cpc":54,"actual_cpc":54},83653,"senior-staff-engineer-financial-substantiation-platform-hybrid-government-employees-insurance-company","Senior Staff Engineer - Financial Substantiation Platform *Hybrid*",{"name":388,"slug":389,"logo_url":281},[724],"Bethesda",[289],260000,[271],{"c#":37,"go":37,"soa":37,"sql":37,"grpc":37,"java":37,"rest":37,"ci\u002Fcd":37,"kafka":260,"devops":37,"python":260,"airflow":260,"pyspark":260,"snowpark":260,"snowflake":260,"containers":37,"microservices":37,"observability":37,"relational database design":37,"infrastructure as code (iac)":37,"cloud platforms (aws\u002Fazure\u002Fgcp)":37},[197,239,730,731,732,733,734,165,735,736,298,737,738,564,150,200,161,223,169,739,740],"Go","Microservices","SOA","REST","gRPC","Relational Database Design","Cloud Platforms (AWS\u002FAzure\u002FGCP)","Containers","Infrastructure as Code (IaC)","PySpark","Snowpark",{"compliance":37,"erp systems":260,"auditability":37,"data lineage":37,"general ledger":260,"financial controls":37,"distributed systems":37,"technical leadership":37,"software architecture":37,"financial reconciliation":37,"production troubleshooting":37},[743,560,744,745,153,746,123,747,748,749,750],"Software Architecture","Financial Reconciliation","Financial Controls","Auditability","ERP Systems","General Ledger","Production Troubleshooting","Technical Leadership",{"id":752,"slug":753,"title":754,"raw_title":281,"is_featured":282,"company":755,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":758,"processed_country_iso_code_gmaps":760,"processed_home_office":342,"processed_salary_min":376,"processed_salary_max":291,"processed_salary_currency":245,"processed_salary_source":293,"processed_working_hours":762,"processed_employment_types":63,"processed_it_skills":763,"processed_it_skills_labels":764,"processed_job_expertise_skills":773,"processed_job_expertise_skills_labels":774,"max_cpc":54,"actual_cpc":54},59431,"senior-full-stack-finops-engineer-lseg-business-services-rm-srl","Senior Full Stack FinOps Engineer",{"name":756,"slug":757,"logo_url":281},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[759],"București",[761],"RO",[271],{"cdk":260,"sql":37,"dask":260,"flask":260,"react":37,"spark":37,"django":260,"docker":37,"pulumi":260,"python":37,"fastapi":37,"next.js":37,"pyspark":37,"synapse":260,"bigquery":37,"redshift":37,"snowflake":37,"terraform":37,"kubernetes":37,"typescript":37,"opentelemetry":260},[169,765,305,766,527,767,768,219,739,769,165,210,207,193,770,771,161,356,355,772,529],"TypeScript","Next.js","Flask","Django","Dask","CDK","Pulumi","Synapse",{"aws":37,"gcp":37,"slos":37,"azure":37,"finops":37,"data lineage":37,"data quality":37,"data modeling":37,"microservices":37,"observability":37,"data ingestion":37,"serverless etl":260,"cost optimization":37,"data normalization":37,"architecture design":37,"security governance":260,"analytics engineering":37,"event-driven patterns":260,"cloud billing constructs":37,"multi-cloud cost management":37},[484,775,776,777,84,778,779,731,780,781,96,123,782,150,783,784,785,297,413,347],"Multi-cloud Cost Management","Data Ingestion","Data Normalization","Analytics Engineering","Architecture Design","Event-driven Patterns","Serverless ETL","SLOs","Security Governance","Cost Optimization","Cloud Billing Constructs",{"id":787,"slug":788,"title":789,"raw_title":281,"is_featured":282,"company":790,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":793,"processed_country_iso_code_gmaps":795,"processed_home_office":342,"processed_salary_min":796,"processed_salary_max":797,"processed_salary_currency":242,"processed_salary_source":293,"processed_working_hours":798,"processed_employment_types":63,"processed_it_skills":799,"processed_it_skills_labels":800,"processed_job_expertise_skills":805,"processed_job_expertise_skills_labels":806,"max_cpc":54,"actual_cpc":54},59925,"senior-quant-analyst-quantitative-developer-london-stock-exchange-group-holdings-inc","Senior Quant Analyst, Quantitative Developer",{"name":791,"slug":792,"logo_url":281},"London Stock Exchange Group Holdings Inc","london-stock-exchange-group-holdings-inc",[794],"New York",[289],125100,208500,[271],{"ai":44,"aws":260,"etl":260,"azure":260,"ci\u002Fcd":260,"linux":260,"python":37,"pyspark":260,"snowflake":260,"databricks":260,"machine learning":44,"azure data factory":260},[169,739,297,413,181,801,161,802,298,803,120,804],"Azure Data Factory","Linux","ETL","AI",{"market data":260,"fixed income":260,"risk factors":260,"data integrity":260,"data wrangling":37,"algorithm design":260,"performance optimization":260,"data pipeline development":37,"financial products knowledge":260,"quantitative data processing":37},[807,808,809,810,811,812,813,814,815,816],"Quantitative Data Processing","Data Pipeline Development","Data Wrangling","Financial Products Knowledge","Fixed Income","Risk Factors","Market Data","Algorithm Design","Data Integrity","Performance Optimization",{"id":818,"slug":819,"title":820,"raw_title":281,"is_featured":282,"company":821,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":822,"processed_country_iso_code_gmaps":824,"processed_home_office":290,"processed_salary_min":825,"processed_salary_max":696,"processed_salary_currency":247,"processed_salary_source":293,"processed_working_hours":826,"processed_employment_types":63,"processed_it_skills":827,"processed_it_skills_labels":828,"processed_job_expertise_skills":841,"processed_job_expertise_skills_labels":842,"max_cpc":54,"actual_cpc":54},75108,"senior-enterprise-tools-engineer-refinitiv-india-shared-services-private-limited","Senior Enterprise Tools Engineer",{"name":690,"slug":691,"logo_url":281},[823],"Bengaluru",[341],2500000,[271],{"aws":37,"dbt":44,"sql":37,"delta":260,"kafka":37,"aws s3":260,"python":37,"clarity":44,"iceberg":260,"kinesis":260,"parquet":260,"aws glue":260,"planview":44,"snowpark":44,"snowflake":37,"terraform":44,"aws lambda":260,"servicenow":44,"monte carlo":44,"atlassian tools":44,"fabric notebooks":44,"microsoft fabric":37,"great expectations":44},[165,169,161,672,297,200,439,829,830,831,832,833,834,740,835,215,193,836,837,838,839,840,706],"Parquet","Delta","Iceberg","AWS S3","AWS Glue","AWS Lambda","Fabric Notebooks","Great Expectations","Monte Carlo","Atlassian tools","Clarity","Planview",{"etl\u002Felt":37,"data modeling":37,"data engineering":37,"automated testing":260,"knowledge sharing":260,"performance tuning":37,"project management":260,"agile methodologies":260,"data quality practices":260,"lakehouse architecture":37,"technical documentation":260,"architectural principles":260},[76,611,84,679,843,103,844,845,846,847,848,508],"Lakehouse Architecture","Data Quality Practices","Automated Testing","Technical Documentation","Knowledge Sharing","Architectural Principles",{"id":850,"slug":851,"title":852,"raw_title":281,"is_featured":282,"company":853,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":856,"processed_country_iso_code_gmaps":858,"processed_home_office":290,"processed_salary_min":860,"processed_salary_max":861,"processed_salary_currency":245,"processed_salary_source":293,"processed_working_hours":862,"processed_employment_types":63,"processed_it_skills":863,"processed_it_skills_labels":864,"processed_job_expertise_skills":873,"processed_job_expertise_skills_labels":874,"max_cpc":54,"actual_cpc":54},71769,"dws-senior-security-engineer-data-platforms-mfd-0930-dws-international-gmbh","DWS - Senior Security Engineer - Data Platforms (m\u002Ff\u002Fd)",{"name":854,"slug":855,"logo_url":281},"0930 DWS International GmbH","0930-dws-international-gmbh",[857],"Berlin",[859],"DE",70000,100000,[271],{"dlp":37,"gcp":37,"java":37,"siem":260,"azure":260,"python":37,"devsecops":37,"snowflake":37,"terraform":37,"google secops":260,"cloud security":37,"github actions":37,"github runners":37,"data protection":37,"access control design":37,"infrastructure-as-code":37},[161,347,413,865,193,352,866,867,868,169,197,869,870,871,565,872],"Infrastructure-as-Code","GitHub Runners","SIEM","Google SecOps","DLP","Access Control Design","Data Protection","Cloud Security",{"compliance":37,"documentation":260,"security frameworks":37,"vendor collaboration":260,"threat detection and response":37},[875,153,876,877,651],"Security Frameworks","Threat Detection and Response","Vendor Collaboration",{"id":879,"slug":880,"title":881,"raw_title":281,"is_featured":282,"company":882,"raw_hiringOrganization_logo_url":281,"processed_city_gmaps":885,"processed_country_iso_code_gmaps":886,"processed_home_office":342,"processed_salary_min":888,"processed_salary_max":889,"processed_salary_currency":268,"processed_salary_source":293,"processed_working_hours":890,"processed_employment_types":63,"processed_it_skills":891,"processed_it_skills_labels":892,"processed_job_expertise_skills":896,"processed_job_expertise_skills_labels":897,"max_cpc":54,"actual_cpc":904},60487,"finance-software-developer-associate-technology-191-ms-japan-group","Finance Software Developer, Associate, Technology",{"name":883,"slug":884,"logo_url":281},"MS Japan Group","ms-japan-group",[],[887],"JP",8000000,12000000,[271],{"db2":260,"sql":37,"java":37,"linux":260,"scala":37,"python":37,"sybase":260,"angular":260,"teradata":260,"snowflake":260},[197,476,169,165,306,802,161,893,894,895],"Teradata","Sybase","DB2",{"ai":260,"etl":260,"cloud":260,"devops":260,"finance":44,"accounting":44,"data processing":260,"agile development":260,"software development":37},[898,803,899,900,564,901,804,902,903],"Software Development","Data Processing","Agile Development","Cloud","Accounting","Finance",0.5,{"total":54,"jobs":906},[]]