[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-pyspark-global":3,"job-search-\u002Fde\u002Fjobs-by-skill\u002Fpyspark?page=4":4,"skill-page-filters-\u002Fde\u002Fjobs-by-skill\u002Fpyspark?page=4":641,"featured-jobs-\u002Fde\u002Fjobs-by-skill\u002Fpyspark?page=4":846},{},{"total":5,"jobs":6},88,[7,60,98,172,208,248,276,306,319,352,395,410,433,462,486,510,531,553,597,616],{"id":8,"slug":9,"title":10,"raw_title":11,"is_featured":12,"company":13,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":16,"processed_country_iso_code_gmaps":18,"processed_home_office":20,"processed_salary_min":21,"processed_salary_max":22,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":25,"processed_employment_types":27,"processed_it_skills":28,"processed_it_skills_labels":32,"processed_job_expertise_skills":48,"processed_job_expertise_skills_labels":49,"max_cpc":59,"actual_cpc":59},55125,"databricks-data-engineer-risk-technology-cibc-bank-usa","Databricks Data Engineer, Risk Technology",null,false,{"name":14,"slug":15,"logo_url":11},"CIBC Bank USA","cibc-bank-usa",[17],"Chicago",[19],"US","hybrid",120000,160000,"USD","estimated",[26],"FULL_TIME","permanent",{"c#":29,"sql":30,".net":29,"python":30,"etl\u002Felt":30,"pyspark":30,"spark sql":30,"databricks":30,"delta lake":30,"postgresql":31,"servicenow":29,"apache spark":30,"azure devops":31,"microsoft azure":30,"azure databricks":30},2,4,3,[33,34,35,36,37,38,39,40,41,42,43,44,45,46,47],"Python","SQL","Databricks","Apache Spark","PySpark","Spark SQL","Delta Lake","Microsoft Azure","Azure Databricks","ETL\u002FELT","C#",".NET","PostgreSQL","Azure DevOps","ServiceNow",{"devsecops":31,"documentation":31,"risk management":31,"data engineering":30,"credit risk models":29,"banking fundamentals":31,"software engineering":30,"regulatory compliance":31,"capital stress testing":29},[50,51,52,53,54,55,56,57,58],"Software Engineering","Data Engineering","Risk Management","Banking Fundamentals","Regulatory Compliance","Capital Stress Testing","Credit Risk Models","DevSecOps","Documentation",1,{"id":61,"slug":62,"title":63,"raw_title":11,"is_featured":12,"company":64,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":67,"processed_country_iso_code_gmaps":69,"processed_home_office":20,"processed_salary_min":71,"processed_salary_max":72,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":74,"processed_employment_types":75,"processed_it_skills":76,"processed_it_skills_labels":77,"processed_job_expertise_skills":86,"processed_job_expertise_skills_labels":87,"max_cpc":59,"actual_cpc":59},65725,"senior-data-scientist-sun-life-assurance-company-of-canada","Senior Data Scientist",{"name":65,"slug":66,"logo_url":11},"Sun Life Assurance Company of Canada","sun-life-assurance-company-of-canada",[68],"Toronto",[70],"CA",90000,140000,"CAD",[26],"contract",{"aws":31,"rag":30,"sql":31,"crewai":31,"python":30,"pyspark":31,"llm apis":30,"langchain":31,"langgraph":31,"genai frameworks":30,"vector databases":31},[33,34,37,78,79,80,81,82,83,84,85],"AWS","GenAI frameworks","LLM APIs","RAG","Vector databases","LangChain","LangGraph","CrewAI",{"data science":30,"machine learning":30,"model evaluation":30,"conversational ai":31,"project management":31,"prompt engineering":30,"chatbot development":31,"feature engineering":30,"technical leadership":31,"stakeholder management":31},[88,89,90,91,92,93,94,95,96,97],"Machine Learning","Data Science","Feature Engineering","Model Evaluation","Prompt Engineering","Chatbot Development","Conversational AI","Technical Leadership","Stakeholder Management","Project Management",{"id":99,"slug":100,"title":101,"raw_title":11,"is_featured":12,"company":102,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":105,"processed_country_iso_code_gmaps":106,"processed_home_office":20,"processed_salary_min":107,"processed_salary_max":21,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":108,"processed_employment_types":27,"processed_it_skills":109,"processed_it_skills_labels":110,"processed_job_expertise_skills":131,"processed_job_expertise_skills_labels":132,"max_cpc":59,"actual_cpc":59},80074,"product-engineering-fabric-data-engineering-allstate-insurance-company-of-canada-permanent","Product Engineering (Fabric Data Engineering)",{"name":103,"slug":104,"logo_url":11},"Allstate Insurance Company of Canada - Permanent","allstate-insurance-company-of-canada-permanent",[],[70],80900,[26],{"dax":30,"git":30,"sql":30,"rest":31,"ci\u002Fcd":30,"spark":30,"python":30,"onelake":30,"pyspark":30,"power bi":30,"dataflows":30,"lakehouse":30,"notebooks":30,"warehouse":30,"delta lake":30,"direct lake":30,"azure devops":30,"azure monitor":30,"log analytics":30,"data pipelines":30,"github copilot":31,"microsoft fabric":30,"microsoft purview":30,"copilot in power bi":31,"fabric api for graphql":31},[111,112,113,114,115,116,117,118,34,37,33,119,39,46,120,121,122,123,124,125,126,127,128,129,130],"Microsoft Fabric","OneLake","Lakehouse","Warehouse","Notebooks","Data Pipelines","Dataflows","Direct Lake","Spark","CI\u002FCD","Git","Power BI","DAX","Microsoft Purview","Azure Monitor","Log Analytics","Fabric API for GraphQL","REST","GitHub Copilot","Copilot in Power BI",{"claims":30,"vacuum":30,"billing":30,"v-order":30,"z-order":30,"optimize":30,"actuarial":30,"loss ratio":30,"code review":30,"data lineage":30,"data quality":30,"star schemas":30,"underwriting":30,"data security":30,"dlp alignment":30,"observability":30,"combined ratio":30,"api integration":31,"data governance":30,"incident triage":30,"change data feed":30,"data engineering":30,"capacity planning":30,"liquid clustering":30,"semantic modeling":30,"release governance":30,"row-level security":30,"data transformation":30,"kimball methodology":30,"dimensional modeling":30,"regulatory reporting":30,"column-level security":30,"object-level security":30,"partitioning strategy":30,"spark workload tuning":30,"incremental load patterns":30,"insurance domain knowledge":30,"auto and property insurance":30,"slowly changing dimensions type 2":30,"delta table performance optimization":30},[51,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171],"Data Governance","Data Security","Data Quality","Data Transformation","Semantic Modeling","Dimensional Modeling","Kimball Methodology","Star Schemas","Slowly Changing Dimensions Type 2","Incremental Load Patterns","Delta Table Performance Optimization","OPTIMIZE","Z-Order","V-Order","Liquid Clustering","VACUUM","Change Data Feed","Partitioning Strategy","Spark Workload Tuning","Row-Level Security","Column-Level Security","Object-Level Security","DLP Alignment","Data Lineage","Regulatory Reporting","Insurance Domain Knowledge","Auto and Property Insurance","Claims","Billing","Actuarial","Underwriting","Loss Ratio","Combined Ratio","API Integration","Capacity Planning","Code Review","Release Governance","Observability","Incident Triage",{"id":173,"slug":174,"title":175,"raw_title":11,"is_featured":12,"company":176,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":179,"processed_country_iso_code_gmaps":181,"processed_home_office":20,"processed_salary_min":182,"processed_salary_max":183,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":184,"processed_employment_types":27,"processed_it_skills":185,"processed_it_skills_labels":186,"processed_job_expertise_skills":198,"processed_job_expertise_skills_labels":199,"max_cpc":59,"actual_cpc":59},67082,"staff-data-reliability-engineer-hybrid-hartford-fire-ins-co","Staff Data Reliability Engineer - Hybrid",{"name":177,"slug":178,"logo_url":11},"Hartford Fire Ins. Co","hartford-fire-ins-co",[180],"Charlotte",[19],127600,191400,[26],{"aws":31,"gcp":31,"sql":30,"aiops":30,"python":30,"asp.net":29,"pyspark":30,"snowflake":30,"informatica":30,"machine learning":31,"amazon emr\u002Fhadoop":31,"prompt engineering":31,".net (c# or vb.net)":29,"aws or google ai services":31,"sql server management studio (ssms)":31,"sql server integration services (ssis)":31,"data observability tools (monte carlo, bigeye, astro observe, datafold)":30},[33,37,34,187,188,189,78,190,191,192,193,194,195,196,88,92,197],"Informatica","Amazon EMR\u002FHadoop","Snowflake","GCP","SQL Server Integration Services (SSIS)","SQL Server Management Studio (SSMS)",".NET (C# or VB.NET)","ASP.NET","Data Observability Tools (Monte Carlo, Bigeye, Astro Observe, Datafold)","AIOps","AWS or Google AI Services",{"dataops":30,"automation":30,"data quality":30,"data governance":31,"data validation":30,"data engineering":30,"cloud engineering":31,"data observability":30,"incident management":30,"data pipeline development":30,"site reliability engineering (sre)":30},[51,135,200,133,201,202,203,204,205,206,207],"Site Reliability Engineering (SRE)","DataOps","Incident Management","Automation","Data Observability","Data Pipeline Development","Data Validation","Cloud Engineering",{"id":209,"slug":210,"title":211,"raw_title":11,"is_featured":12,"company":212,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":215,"processed_country_iso_code_gmaps":217,"processed_home_office":20,"processed_salary_min":219,"processed_salary_max":220,"processed_salary_currency":221,"processed_salary_source":24,"processed_working_hours":222,"processed_employment_types":27,"processed_it_skills":223,"processed_it_skills_labels":224,"processed_job_expertise_skills":239,"processed_job_expertise_skills_labels":240,"max_cpc":59,"actual_cpc":59},58043,"seniorlead-gcp-data-engineer-ing-hubs-bv-turkiye-2","Senior\u002FLead GCP Data Engineer",{"name":213,"slug":214,"logo_url":11},"ING Hubs B.V. Turkiye","ing-hubs-bv-turkiye",[216],"Istanbul",[218],"TR",50000,80000,"EUR",[26],{"dbt":29,"sql":30,"ci\u002Fcd":31,"kafka":29,"mlops":29,"python":30,"airflow":30,"pub\u002Fsub":29,"pyspark":30,"bigquery":30,"dataflow":29,"elk stack":29,"vertex ai":29,"dialogflow":29,"cloud storage":30,"cloud composer":30,"version control":31,"google cloud platform":30},[37,225,33,34,226,227,228,229,120,230,231,232,233,234,235,236,237,238],"Airflow","Google Cloud Platform","BigQuery","Cloud Storage","Cloud Composer","Version Control","ELK Stack","MLOps","Vertex AI","Dialogflow","Kafka","Pub\u002FSub","Dataflow","dbt",{"data modeling":30,"streaming data":29,"data pipeline design":30,"event-driven architecture":29,"infrastructure provisioning":29,"monitoring and observability":29,"software engineering best practices":31},[241,242,243,244,245,246,247],"Data Modeling","Data Pipeline Design","Software Engineering Best Practices","Infrastructure Provisioning","Monitoring and Observability","Event-Driven Architecture","Streaming Data",{"id":249,"slug":250,"title":251,"raw_title":11,"is_featured":12,"company":252,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":255,"processed_country_iso_code_gmaps":256,"processed_home_office":257,"processed_salary_min":258,"processed_salary_max":259,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":260,"processed_employment_types":27,"processed_it_skills":261,"processed_it_skills_labels":262,"processed_job_expertise_skills":266,"processed_job_expertise_skills_labels":267,"max_cpc":59,"actual_cpc":59},66753,"data-scientist-ii-the-toronto-dominion-bank-canada-3","Data Scientist II",{"name":253,"slug":254,"logo_url":11},"The Toronto-Dominion Bank (Canada)","the-toronto-dominion-bank-canada",[68],[70],"onsite",81600,115200,[26],{"sas":29,"sql":30,"python":30,"powerbi":31,"pyspark":30,"tableau":31,"databricks":31},[33,37,34,263,264,35,265],"Tableau","PowerBI","SAS",{"consulting":31,"data mining":30,"data strategy":31,"machine learning":30,"advanced analytics":30,"data visualization":31,"hypothesis testing":30,"statistical modeling":30,"statistical validation":30},[268,88,269,270,271,272,273,274,275],"Statistical Modeling","Data Mining","Advanced Analytics","Data Visualization","Hypothesis Testing","Statistical Validation","Consulting","Data Strategy",{"id":277,"slug":278,"title":251,"raw_title":11,"is_featured":12,"company":279,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":280,"processed_country_iso_code_gmaps":281,"processed_home_office":257,"processed_salary_min":258,"processed_salary_max":259,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":282,"processed_employment_types":27,"processed_it_skills":283,"processed_it_skills_labels":284,"processed_job_expertise_skills":292,"processed_job_expertise_skills_labels":293,"max_cpc":59,"actual_cpc":59},66754,"data-scientist-ii-the-toronto-dominion-bank-canada-4",{"name":253,"slug":254,"logo_url":11},[68],[70],[26],{"sql":30,"azure":31,"numpy":30,"github":31,"pandas":30,"python":30,"pyspark":30,"power bi":30,"scikit-learn":30,"visual studio code":31},[33,285,286,287,288,34,122,289,290,291],"Pyspark","Pandas","NumPy","Scikit-learn","GitHub","Visual Studio Code","Azure",{"forecasting":31,"data analysis":30,"data cleansing":30,"ai implementation":31,"capacity planning":31,"critical thinking":30,"data visualization":30,"workload estimation":31,"agentic ai workflows":29,"copilot based agents":29,"workforce management":31,"requirements gathering":31,"stakeholder management":31,"structured problem solving":30,"financial products knowledge":31},[294,271,295,296,297,167,298,299,300,301,302,303,96,304,305],"Data Analysis","Data Cleansing","Forecasting","Workforce Management","Workload Estimation","AI Implementation","Agentic AI Workflows","Copilot based agents","Financial Products Knowledge","Requirements Gathering","Critical Thinking","Structured Problem Solving",{"id":307,"slug":308,"title":251,"raw_title":11,"is_featured":12,"company":309,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":310,"processed_country_iso_code_gmaps":311,"processed_home_office":257,"processed_salary_min":258,"processed_salary_max":259,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":312,"processed_employment_types":27,"processed_it_skills":313,"processed_it_skills_labels":314,"processed_job_expertise_skills":315,"processed_job_expertise_skills_labels":316,"max_cpc":59,"actual_cpc":59},66746,"data-scientist-ii-the-toronto-dominion-bank-canada-2",{"name":253,"slug":254,"logo_url":11},[68],[70],[26],{"sql":30,"python":30,"pyspark":29,"tableau":31,"power bi":31,"microsoft azure":29},[33,34,122,263,37,40],{"data quality":31,"data analysis":30,"data governance":29,"risk management":29,"machine learning":31,"banking knowledge":29,"data visualization":31,"predictive analytics":31},[294,88,317,271,135,133,52,318],"Predictive Analytics","Banking Knowledge",{"id":320,"slug":321,"title":322,"raw_title":11,"is_featured":12,"company":323,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":324,"processed_country_iso_code_gmaps":325,"processed_home_office":257,"processed_salary_min":326,"processed_salary_max":327,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":328,"processed_employment_types":27,"processed_it_skills":329,"processed_it_skills_labels":330,"processed_job_expertise_skills":338,"processed_job_expertise_skills_labels":339,"max_cpc":59,"actual_cpc":59},66773,"sr-full-stack-data-science-engineer-the-toronto-dominion-bank-canada","Sr. Full Stack Data Science Engineer",{"name":253,"slug":254,"logo_url":11},[68],[70],154000,199500,[26],{"aws":31,"sql":30,"azure":30,"docker":31,"python":30,"pyspark":30,"pytorch":30,"tableau":31,"power bi":30,"snowflake":31,"databricks":30,"kubernetes":31,"apache spark":30,"etl\u002Felt pipelines":30,"azure data factory":31,"azure machine learning":30,"generative ai tools and apis":30},[33,37,34,122,35,331,263,291,78,332,333,334,335,189,36,336,337],"PyTorch","Kubernetes","Docker","Azure Machine Learning","Azure Data Factory","ETL\u002FELT Pipelines","Generative AI tools and APIs",{"data science":30,"segmentation":31,"deep learning":30,"data engineering":30,"data stewardship":30,"machine learning":30,"data storytelling":30,"advanced analytics":30,"customer analytics":31,"data visualization":30,"hypothesis testing":30,"supervised learning":30,"predictive analytics":30,"large language models":30,"unsupervised learning":30,"natural language processing":30,"financial services knowledge":30,"experimentation and optimization":30,"model development and deployment":30},[270,89,88,340,341,317,342,343,344,345,346,271,51,347,348,349,350,272,351],"Deep Learning","Large Language Models","Natural Language Processing","Supervised Learning","Unsupervised Learning","Model Development and Deployment","Experimentation and Optimization","Data Stewardship","Financial Services Knowledge","Customer Analytics","Segmentation","Data Storytelling",{"id":353,"slug":354,"title":355,"raw_title":11,"is_featured":12,"company":356,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":359,"processed_country_iso_code_gmaps":361,"processed_home_office":257,"processed_salary_min":363,"processed_salary_max":364,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":365,"processed_employment_types":27,"processed_it_skills":366,"processed_it_skills_labels":367,"processed_job_expertise_skills":382,"processed_job_expertise_skills_labels":383,"max_cpc":59,"actual_cpc":59},59643,"sr-lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Sr Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":357,"slug":358,"logo_url":11},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[360],"Bengaluru",[362],"IN",100000,150000,[26],{"c":31,"c#":31,"go":31,"aws":30,"c++":31,"cdk":31,"sql":30,"java":31,"rust":31,"deequ":31,"scala":31,"python":30,"jenkins":31,"pyspark":31,"gitlab ci":31,"snowflake":31,"terraform":31,"databricks":31,"delta lake":31,"apache spark":31,"apache iceberg":31,"github actions":31,"great expectations":31},[33,78,34,368,43,369,370,371,372,373,36,37,374,39,35,189,375,376,377,378,379,380,381],"Java","C","C++","Scala","Go","Rust","Apache Iceberg","GitLab CI","Jenkins","GitHub Actions","Terraform","CDK","Great Expectations","Deequ",{"etl":30,"ci\u002Fcd":30,"testing":30,"refactoring":30,"data modeling":30,"system design":30,"batch processing":30,"schema evolution":30,"secure development":30,"investment analytics":31,"portfolio management":31,"software architecture":30,"financial indices domain":31},[384,385,120,386,387,388,241,389,390,391,392,393,394],"Software Architecture","System Design","Testing","Refactoring","Secure Development","ETL","Schema Evolution","Batch Processing","Financial Indices Domain","Investment Analytics","Portfolio Management",{"id":396,"slug":397,"title":398,"raw_title":11,"is_featured":12,"company":399,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":400,"processed_country_iso_code_gmaps":401,"processed_home_office":257,"processed_salary_min":21,"processed_salary_max":402,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":403,"processed_employment_types":27,"processed_it_skills":404,"processed_it_skills_labels":405,"processed_job_expertise_skills":406,"processed_job_expertise_skills_labels":407,"max_cpc":59,"actual_cpc":59},59642,"lead-software-engineerpythonawssql-ind201-refinitiv-india-shared-services-private-limited","Lead Software Engineer(Python\u002FAWS\u002FSQL)",{"name":357,"slug":358,"logo_url":11},[360],[362],180000,[26],{"c":31,"c#":31,"go":31,"aws":30,"c++":31,"cdk":31,"git":30,"sql":30,"java":31,"rust":31,"ci\u002Fcd":30,"deequ":31,"scala":31,"python":30,"jenkins":31,"pyspark":31,"gitlab ci":31,"snowflake":31,"terraform":31,"databricks":31,"delta lake":31,"apache spark":31,"apache iceberg":31,"github actions":31,"great expectations":31},[33,78,34,121,120,378,37,368,43,369,370,371,372,373,36,374,39,35,189,375,376,377,379,380,381],{"etl":31,"design":30,"data modeling":30,"observability":30,"schema design":30,"batch processing":31,"software architecture":30,"stakeholder management":31,"financial indices domain":31},[384,408,241,389,391,409,170,392,96],"Design","Schema Design",{"id":411,"slug":412,"title":413,"raw_title":11,"is_featured":12,"company":414,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":417,"processed_country_iso_code_gmaps":419,"processed_home_office":257,"processed_salary_min":21,"processed_salary_max":364,"processed_salary_currency":421,"processed_salary_source":24,"processed_working_hours":422,"processed_employment_types":75,"processed_it_skills":423,"processed_it_skills_labels":424,"processed_job_expertise_skills":429,"processed_job_expertise_skills_labels":430,"max_cpc":59,"actual_cpc":59},58446,"senior-data-engineer-data-analytics-platform-80-100-fmd-contract-through-our-external-payroll-partner-with-immediate-start-for-12-months-with-possible-extension-bank-julius-baer-amp-co-ltd","Senior Data Engineer – Data Analytics Platform 80-100% (f\u002Fm\u002Fd) - (Contract through our external payroll partner with immediate start for 12 months with possible extension)",{"name":415,"slug":416,"logo_url":11},"Bank Julius Baer & Co. Ltd.","bank-julius-baer-co-ltd",[418],"Zürich",[420],"CH","CHF",[26],{"dbt":31,"sql":30,"azure":30,"ci\u002Fcd":31,"kafka":31,"scala":31,"docker":31,"python":30,"pyspark":30,"databricks":30,"delta lake":31,"event hubs":31,"kubernetes":31,"helm charts":29,"apache flink":29,"spark streaming":31},[33,371,34,37,35,425,39,291,235,426,427,332,333,428,238,120],"Spark Streaming","Event Hubs","Apache Flink","Helm Charts",{"etl\u002Felt":30,"data analysis":30,"data modeling":30,"data security":31,"system design":30,"data governance":31,"data warehousing":30,"business intelligence":30},[42,431,432,241,133,134,385,294],"Data Warehousing","Business Intelligence",{"id":434,"slug":435,"title":436,"raw_title":11,"is_featured":12,"company":437,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":438,"processed_country_iso_code_gmaps":439,"processed_home_office":20,"processed_salary_min":258,"processed_salary_max":259,"processed_salary_currency":73,"processed_salary_source":24,"processed_working_hours":440,"processed_employment_types":27,"processed_it_skills":441,"processed_it_skills_labels":442,"processed_job_expertise_skills":450,"processed_job_expertise_skills_labels":451,"max_cpc":59,"actual_cpc":59},66774,"it-developer-iii-the-toronto-dominion-bank-canada","IT Developer III",{"name":253,"slug":254,"logo_url":11},[68],[70],[26],{"c#":30,"sql":30,"java":30,"excel":30,"nosql":31,"jmeter":31,"python":31,"mongodb":31,"pyspark":29,"selenium":30,"databricks":29,"playwright":30,"microsoft copilot":31},[368,43,443,444,34,445,446,447,448,33,37,35,449],"Selenium","Playwright","NoSQL","MongoDB","Excel","Microsoft Copilot","JMeter",{"audit support":30,"qa automation":30,"test execution":30,"data validation":30,"defect management":30,"financial services":31,"functional testing":30,"regression testing":30,"test documentation":30,"performance testing":31,"regulatory reporting":31,"treasury and balance sheet management":31},[452,453,454,455,456,206,457,458,459,460,461,157],"QA Automation","Regression Testing","Functional Testing","Defect Management","Test Execution","Audit Support","Performance Testing","Test Documentation","Financial Services","Treasury and Balance Sheet Management",{"id":463,"slug":464,"title":465,"raw_title":11,"is_featured":12,"company":466,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":469,"processed_country_iso_code_gmaps":471,"processed_home_office":257,"processed_salary_min":472,"processed_salary_max":473,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":474,"processed_employment_types":27,"processed_it_skills":475,"processed_it_skills_labels":476,"processed_job_expertise_skills":478,"processed_job_expertise_skills_labels":479,"max_cpc":59,"actual_cpc":59},66348,"senior-manager-analytics-amp-insights-us-finance-decision-science-td-bank-na","Senior Manager, Analytics & Insights (US)- Finance-Decision Science",{"name":467,"slug":468,"logo_url":11},"TD Bank, N.A.","td-bank-na",[470],"Mount Laurel",[19],123050,184570,[26],{"vb":31,"sas":30,"sql":30,"excel":30,"python":30,"pyspark":31,"power bi":30,"microsoft copilot":31},[447,477,122,265,34,37,33,448],"VB",{"data analytics":30,"risk management":31,"business strategy":30,"data visualization":30,"financial analysis":30,"project management":31,"portfolio management":30,"business intelligence":30,"regulatory compliance":31,"test and learn design":31,"profitability analysis":30,"financial model building":30},[480,481,482,271,432,97,52,54,483,484,485,394],"Profitability Analysis","Financial Analysis","Financial Model Building","Business Strategy","Data Analytics","Test and Learn Design",{"id":487,"slug":488,"title":489,"raw_title":11,"is_featured":12,"company":490,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":493,"processed_country_iso_code_gmaps":495,"processed_home_office":257,"processed_salary_min":220,"processed_salary_max":21,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":497,"processed_employment_types":27,"processed_it_skills":498,"processed_it_skills_labels":499,"processed_job_expertise_skills":503,"processed_job_expertise_skills_labels":504,"max_cpc":59,"actual_cpc":59},59453,"senior-technical-specialist-chn010-refinitiv-technology-china-co-ltd","Senior Technical Specialist",{"name":491,"slug":492,"logo_url":11},"Refinitiv Technology China Co., Ltd.","refinitiv-technology-china-co-ltd",[494],"Hai Dian Qu",[496],"CN",[26],{"aws":31,"git":31,"java":30,"azure":31,"ci\u002Fcd":31,"pl\u002Fsql":30,"python":30,"pyspark":30,"ab initio":30,"terraform":31,"oracle sql":30},[368,33,37,500,501,502,291,78,121,378,120],"Oracle SQL","PL\u002FSQL","Ab Initio",{"etl":30,"code review":31,"reliability":31,"scalability":31,"data analysis":30,"agile development":31,"software engineering":30,"performance optimization":31,"financial markets knowledge":31},[50,389,294,505,506,168,507,508,509],"Financial Markets Knowledge","Agile Development","Scalability","Reliability","Performance Optimization",{"id":511,"slug":512,"title":513,"raw_title":11,"is_featured":12,"company":514,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":517,"processed_country_iso_code_gmaps":519,"processed_home_office":257,"processed_salary_min":219,"processed_salary_max":520,"processed_salary_currency":221,"processed_salary_source":24,"processed_working_hours":521,"processed_employment_types":27,"processed_it_skills":522,"processed_it_skills_labels":523,"processed_job_expertise_skills":524,"processed_job_expertise_skills_labels":525,"max_cpc":59,"actual_cpc":59},60228,"actuarial-technician-manager-amvc-mampg-global-services","Actuarial Technician - Manager (AMVC)",{"name":515,"slug":516,"logo_url":11},"M&G Global Services","mg-global-services",[518],"Mumbai",[362],70000,[26],{"python":30,"pyspark":30,"databricks":30,"azure devops":30},[35,37,33,46],{"test frameworks":30,"numerical analysis":30,"financial reporting":31,"workflow development":31,"governance management":30},[526,527,528,529,530],"Financial Reporting","Workflow Development","Test Frameworks","Governance Management","Numerical Analysis",{"id":532,"slug":533,"title":534,"raw_title":11,"is_featured":12,"company":535,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":538,"processed_country_iso_code_gmaps":540,"processed_home_office":257,"processed_salary_min":520,"processed_salary_max":363,"processed_salary_currency":221,"processed_salary_source":24,"processed_working_hours":542,"processed_employment_types":27,"processed_it_skills":543,"processed_it_skills_labels":544,"processed_job_expertise_skills":547,"processed_job_expertise_skills_labels":548,"max_cpc":59,"actual_cpc":59},59421,"lead-data-engineer-lseg-business-services-rm-srl","Lead Data Engineer",{"name":536,"slug":537,"logo_url":11},"LSEG Business Services RM S.R.L","lseg-business-services-rm-srl",[539],"București",[541],"RO",[26],{"python":30,"pyspark":30,"terraform":29,"aws athena":29,"databricks":30,"sql server":30,"azure data factory":30},[335,545,33,35,37,546,378],"SQL Server","AWS Athena",{"data modeling":30,"data governance":31,"data architecture":30,"etl\u002Felt workflows":30,"performance tuning":30,"distributed systems":31},[549,550,241,551,133,552],"Data Architecture","ETL\u002FELT Workflows","Performance Tuning","Distributed Systems",{"id":554,"slug":555,"title":556,"raw_title":11,"is_featured":12,"company":557,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":560,"processed_country_iso_code_gmaps":562,"processed_home_office":257,"processed_salary_min":563,"processed_salary_max":564,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":565,"processed_employment_types":27,"processed_it_skills":566,"processed_it_skills_labels":567,"processed_job_expertise_skills":591,"processed_job_expertise_skills_labels":592,"max_cpc":59,"actual_cpc":59},62766,"senior-data-engineer-001-prudential-ins-co-of-america","Senior Data Engineer",{"name":558,"slug":559,"logo_url":11},"Prudential Ins Co of America","prudential-ins-co-of-america",[561],"Newark",[19],104000,171600,[26],{"r":31,"aws":30,"sql":30,"java":31,"ci\u002Fcd":31,"kafka":31,"nosql":31,"scala":31,"devops":30,"lambda":31,"python":30,"splunk":31,"airflow":31,"ansible":31,"appflow":29,"autosys":29,"kinesis":31,"pyspark":30,"tableau":31,"testing":31,"aws glue":31,"ms excel":31,"power bi":31,"security":31,"graph dbs":29,"snowflake":31,"cloudwatch":31,"data lakes":30,"apache spark":30,"aws redshift":31,"unit testing":31,"data modeling":30,"cloudformation":31,"data ingestion":30,"step functions":31,"data protection":31,"shell scripting":31,"data warehousing":30,"data visualization":31,"data transformation":30,"integration testing":31,"functional automation":31},[33,568,34,368,371,37,36,569,78,570,189,571,235,225,572,573,574,575,263,122,576,577,578,579,580,581,582,120,445,583,241,431,584,585,136,271,586,587,386,588,589,590],"R","Shell scripting","AWS Redshift","Kinesis","AppFlow","Autosys","Cloudwatch","Splunk","MS Excel","Ansible","CloudFormation","AWS Glue","Lambda","Step functions","DevOps","Graph DBs","Data Lakes","Data Ingestion","Data Protection","Security","Unit Testing","Integration Testing","Functional Automation",{"sdlc":30,"data analysis":30,"cloud computing":30,"data engineering":30,"data architecture":30,"devops automation":30,"data pipeline development":30,"financial\u002Finsurance industry knowledge":29},[51,205,294,549,593,594,595,596],"SDLC","DevOps Automation","Cloud Computing","Financial\u002FInsurance Industry Knowledge",{"id":598,"slug":599,"title":534,"raw_title":11,"is_featured":12,"company":600,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":603,"processed_country_iso_code_gmaps":605,"processed_home_office":257,"processed_salary_min":607,"processed_salary_max":608,"processed_salary_currency":609,"processed_salary_source":24,"processed_working_hours":610,"processed_employment_types":27,"processed_it_skills":611,"processed_it_skills_labels":612,"processed_job_expertise_skills":613,"processed_job_expertise_skills_labels":614,"max_cpc":59,"actual_cpc":59},59989,"lead-data-engineer-pol007-refinitiv-poland-spoka-z-oo",{"name":601,"slug":602,"logo_url":11},"Refinitiv Poland Spółka z o.o.","refinitiv-poland-spoka-z-oo",[604],"Gdynia",[606],"PL",203800,322200,"PLN",[26],{"python":30,"pyspark":30,"terraform":29,"aws athena":29,"databricks":30,"sql server":30,"azure data factory":30},[335,545,33,37,35,546,378],{"mentoring":30,"data security":31,"data governance":31,"data architecture":30,"etl\u002Felt workflows":30,"distributed systems":31},[549,550,133,134,552,615],"Mentoring",{"id":617,"slug":618,"title":619,"raw_title":11,"is_featured":12,"company":620,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":623,"processed_country_iso_code_gmaps":625,"processed_home_office":257,"processed_salary_min":626,"processed_salary_max":627,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":628,"processed_employment_types":27,"processed_it_skills":629,"processed_it_skills_labels":630,"processed_job_expertise_skills":636,"processed_job_expertise_skills_labels":637,"max_cpc":59,"actual_cpc":640},67433,"data-engineer-ii-databricks-platform-020-travelers-indemnity-co","Data Engineer II - Databricks Platform",{"name":621,"slug":622,"logo_url":11},"Travelers Indemnity Co","travelers-indemnity-co",[624],"Hartford",[19],126500,208700,[26],{"aws":30,"genie":30,"pyspark":30,"databricks":30,"unity catalog":30,"cloud platforms":30,"programming languages":30,"software engineering practices":30},[35,78,285,631,632,633,634,635],"Unity Catalog","Genie","Cloud Platforms","Programming Languages","Software Engineering Practices",{"data quality":30,"data analysis":30,"data security":30,"data governance":30,"data engineering":30,"agile product development":30,"data platform technologies":30},[51,133,134,135,294,638,639],"Data Platform Technologies","Agile Product Development",0.5,{"industry":642,"employment_type":679,"expertise_skills":691,"it_skills":758,"salary_currency":819,"processed_working_hours":841},[643,646,650,654,658,662,665,667,670,673,676],{"key":644,"label":460,"count":645},"financial services",39,{"key":647,"label":648,"count":649},"insurance","Insurance",32,{"key":651,"label":652,"count":653},"banking","Banking",26,{"key":655,"label":656,"count":657},"financial markets infrastructure","Financial Markets Infrastructure",10,{"key":659,"label":660,"count":661},"data","Data",9,{"key":663,"label":664,"count":31},"asset management","Asset Management",{"key":666,"label":52,"count":29},"risk management",{"key":668,"label":669,"count":59},"wealth management","Wealth Management",{"key":671,"label":672,"count":59},"data provider","Data Provider",{"key":674,"label":675,"count":59},"property","Property",{"key":677,"label":678,"count":59},"casualty insurance","Casualty Insurance",[680,683,685,688],{"key":27,"label":681,"count":682},"PERMANENT",83,{"key":75,"label":684,"count":29},"CONTRACT",{"key":686,"label":687,"count":59},"student","STUDENT",{"key":689,"label":690,"count":59},"temporary","TEMPORARY",[692,695,698,701,703,706,709,712,715,717,719,722,725,729,731,734,738,740,742,745,747,750,753,756],{"key":693,"label":133,"slug":693,"count":694},"data-governance",34,{"key":696,"label":51,"slug":696,"count":697},"data-engineering",30,{"key":699,"label":88,"slug":699,"count":700},"machine-learning",20,{"key":702,"label":241,"slug":702,"count":700},"data-modeling",{"key":704,"label":294,"slug":704,"count":705},"data-analysis",19,{"key":707,"label":135,"slug":707,"count":708},"data-quality",17,{"key":710,"label":134,"slug":710,"count":711},"data-security",16,{"key":713,"label":271,"slug":713,"count":714},"data-visualization",13,{"key":716,"label":549,"slug":716,"count":657},"data-architecture",{"key":718,"label":156,"slug":718,"count":661},"data-lineage",{"key":720,"label":52,"slug":720,"count":721},"risk-management",8,{"key":723,"label":724,"slug":723,"count":721},"project-management","Project management",{"key":726,"label":727,"slug":726,"count":728},"data-quality-management","Data Quality Management",7,{"key":730,"label":116,"slug":730,"count":728},"data-pipelines",{"key":732,"label":733,"slug":732,"count":728},"etlelt","Etl\u002FElt",{"key":735,"label":736,"slug":735,"count":737},"generative-ai","Generative Ai",6,{"key":739,"label":484,"slug":739,"count":737},"data-analytics",{"key":741,"label":432,"slug":741,"count":737},"business-intelligence",{"key":743,"label":744,"slug":743,"count":737},"data-integration","Data Integration",{"key":746,"label":89,"slug":746,"count":737},"data-science",{"key":748,"label":460,"slug":748,"count":749},"financial-services",5,{"key":751,"label":752,"slug":751,"count":749},"data-management","Data Management",{"key":754,"label":755,"slug":754,"count":749},"responsible-ai","Responsible Ai",{"key":757,"label":268,"slug":757,"count":749},"statistical-modeling",[759,761,763,766,768,771,774,777,780,783,786,788,790,792,795,797,800,803,806,808,810,812,814,816],{"key":760,"label":285,"slug":760,"count":5},"pyspark",{"key":762,"label":33,"slug":762,"count":682},"python",{"key":764,"label":34,"slug":764,"count":765},"sql",70,{"key":767,"label":35,"slug":767,"count":645},"databricks",{"key":769,"label":770,"slug":769,"count":697},"aws","Aws",{"key":772,"label":121,"slug":772,"count":773},"git",21,{"key":775,"label":776,"slug":775,"count":700},"ms-powerbi","MS PowerBI",{"key":778,"label":779,"slug":778,"count":705},"cicd","Ci\u002FCd",{"key":781,"label":189,"slug":781,"count":782},"snowflake",18,{"key":784,"label":36,"slug":784,"count":785},"apache-spark",15,{"key":732,"label":733,"slug":732,"count":787},14,{"key":789,"label":39,"slug":789,"count":787},"delta-lake",{"key":791,"label":333,"slug":791,"count":787},"docker",{"key":793,"label":794,"slug":793,"count":787},"ms-azure","MS Azure",{"key":796,"label":378,"slug":796,"count":714},"terraform",{"key":798,"label":119,"slug":798,"count":799},"spark",12,{"key":801,"label":263,"slug":801,"count":802},"tableau",11,{"key":804,"label":805,"slug":804,"count":802},"scikit-learn","Scikit-Learn",{"key":807,"label":335,"slug":807,"count":802},"azure-data-factory",{"key":809,"label":286,"slug":809,"count":657},"pandas",{"key":811,"label":111,"slug":811,"count":661},"microsoft-fabric",{"key":813,"label":576,"slug":813,"count":661},"ms-excel",{"key":815,"label":368,"slug":815,"count":661},"java",{"key":817,"label":818,"slug":817,"count":721},"aws-glue","Aws Glue",[820,821,822,823,825,827,829,831,833,835,836,838,839],{"key":23,"label":23,"count":697},{"key":221,"label":221,"count":705},{"key":73,"label":73,"count":802},{"key":824,"label":824,"count":721},"INR",{"key":826,"label":826,"count":749},"GBP",{"key":828,"label":828,"count":30},"BRL",{"key":830,"label":830,"count":31},"SGD",{"key":832,"label":832,"count":29},"MXN",{"key":834,"label":834,"count":29},"COP",{"key":421,"label":421,"count":59},{"key":837,"label":837,"count":59},"PEN",{"key":609,"label":609,"count":59},{"key":840,"label":840,"count":59},"TRY",[842,844],{"key":26,"label":26,"count":843},87,{"key":845,"label":845,"count":59},"PART_TIME",{"total":59,"jobs":847},[]]