[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-netezza-ca":3,"job-search-\u002Fen-ca\u002Fjobs-by-skill\u002Fnetezza":4,"skill-page-filters-\u002Fen-ca\u002Fjobs-by-skill\u002Fnetezza":191,"featured-jobs-\u002Fen-ca\u002Fjobs-by-skill\u002Fnetezza":320},{},{"total":5,"jobs":6},6,[7,53,94,111,138,157],{"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":40,"processed_job_expertise_skills_labels":41,"max_cpc":51,"actual_cpc":52},82491,"consultant-business-systems-analysis-canadian-imperial-bank-of-commerce-canada","Consultant, Business Systems Analysis",null,false,{"name":14,"slug":15,"logo_url":11},"Canadian Imperial Bank of Commerce (Canada)","canadian-imperial-bank-of-commerce-canada",[17],"Toronto",[19],"CA","hybrid",90000,130000,"CAD","estimated",[26],"FULL_TIME","permanent",{"sql":29,"oracle":30,"python":31,"netezza":30,"databricks":30,"hadoop hive":30,"sql server management studio":30},4,2,3,[33,34,35,36,37,38,39],"SQL","Python","Databricks","Hadoop Hive","Oracle","Netezza","SQL Server Management Studio",{"process design":31,"solution design":29,"domain knowledge":29,"technical writing":31,"credit risk concepts":29,"operational efficiency":31,"project implementation":29,"business requirements analysis":29,"ifrs 9 expected credit loss framework":29},[42,43,44,45,46,47,48,49,50],"Business Requirements Analysis","Solution Design","Credit Risk Concepts","IFRS 9 Expected Credit Loss Framework","Project Implementation","Process Design","Technical Writing","Domain Knowledge","Operational Efficiency",1,1.2,{"id":54,"slug":55,"title":56,"raw_title":11,"is_featured":12,"company":57,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":60,"processed_country_iso_code_gmaps":61,"processed_home_office":62,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":65,"processed_employment_types":27,"processed_it_skills":66,"processed_it_skills_labels":67,"processed_job_expertise_skills":83,"processed_job_expertise_skills_labels":84,"max_cpc":51,"actual_cpc":52},81352,"data-engineer-bank-of-montreal-3","Data Engineer",{"name":58,"slug":59,"logo_url":11},"Bank of Montreal","bank-of-montreal",[17],[19],"onsite",55500,120000,[26],{"sql":31,"jira":31,"ssis":31,"genai":31,"nosql":31,"scala":31,"spark":31,"hadoop":31,"python":31,"netezza":31,"aws glue":31,"ai concepts":31,"data warehousing":31,"prompt engineering":31,"etl\u002Felt development":31,"ai-powered tools in sdlc":31,"retrieval-augmented generation (rag)":31,"cloud storage and computing services (aws, azure)":31},[33,68,34,69,70,71,72,73,74,38,75,76,77,78,79,80,81,82],"NoSQL","Spark","Scala","SSIS","AWS Glue","Cloud Storage and Computing Services (AWS, Azure)","Hadoop","JIRA","ETL\u002FELT Development","Data Warehousing","AI Concepts","GenAI","Prompt Engineering","Retrieval-Augmented Generation (RAG)","AI-Powered Tools in SDLC",{"data mapping":31,"data analysis":31,"agile delivery":31,"data profiling":31,"technical design":31,"regression testing":31,"process improvement":31,"automation scripting":31,"framework development":31},[85,86,87,88,89,90,91,92,93],"Data Analysis","Data Mapping","Data Profiling","Agile Delivery","Regression Testing","Process Improvement","Technical Design","Automation Scripting","Framework Development",{"id":95,"slug":96,"title":97,"raw_title":11,"is_featured":12,"company":98,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":99,"processed_country_iso_code_gmaps":100,"processed_home_office":62,"processed_salary_min":101,"processed_salary_max":102,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":103,"processed_employment_types":27,"processed_it_skills":104,"processed_it_skills_labels":105,"processed_job_expertise_skills":108,"processed_job_expertise_skills_labels":109,"max_cpc":51,"actual_cpc":52},70549,"senior-data-engineer-bank-of-montreal","Senior Data Engineer",{"name":58,"slug":59,"logo_url":11},[17],[19],70000,150000,[26],{"sql":29,"jira":31,"ssis":31,"genai":31,"nosql":29,"scala":29,"spark":29,"hadoop":31,"python":29,"etl\u002Felt":29,"netezza":31,"aws glue":31,"ai concepts":31,"data warehousing":29,"prompt engineering":31,"ai-powered tools in sdlc":31,"retrieval-augmented generation (rag)":31,"cloud storage and computing services (aws, azure)":31},[33,68,34,69,70,71,72,73,74,38,75,106,77,78,79,80,81,107],"ETL\u002FELT","AI-powered Tools in SDLC",{"data mapping":29,"data analysis":29,"agile delivery":29,"data profiling":29,"technical design":29,"regression testing":29,"process improvement":29,"automation scripting":29,"reusable code development":29},[85,86,87,88,90,91,89,92,110],"Reusable Code Development",{"id":112,"slug":113,"title":114,"raw_title":11,"is_featured":12,"company":115,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":116,"processed_country_iso_code_gmaps":117,"processed_home_office":62,"processed_salary_min":63,"processed_salary_max":64,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":119,"processed_employment_types":27,"processed_it_skills":120,"processed_it_skills_labels":121,"processed_job_expertise_skills":124,"processed_job_expertise_skills_labels":125,"max_cpc":51,"actual_cpc":52},70452,"developer-data-ai-platform-support-bank-of-montreal","Developer - Data, AI, Platform & Support",{"name":58,"slug":59,"logo_url":11},[17],[19],"USD",[26],{"sql":31,"jira":31,"ssis":31,"nosql":31,"scala":31,"spark":31,"hadoop":31,"python":31,"netezza":31,"pyspark":31,"aws glue":31,"cloud storage and computing services (aws, azure)":31},[33,68,34,69,122,70,71,72,123,74,38,75],"PySpark","Cloud storage and computing services (AWS, Azure)",{"ai concepts":31,"data mapping":31,"data analysis":31,"data modeling":31,"generative ai":31,"agile delivery":31,"data profiling":31,"prompt engineering":31,"ai-powered tools in sdlc":31,"data warehousing concepts":31,"etl\u002Felt development and testing":31,"retrieval-augmented generation (rag)":31},[126,127,128,129,130,131,132,133,134,135,136,137],"ETL\u002FELT development and testing","Data warehousing concepts","Data analysis","Data modeling","Data mapping","Data profiling","AI concepts","Generative AI","Prompt engineering","Retrieval-augmented generation (RAG)","AI-powered tools in SDLC","Agile delivery",{"id":139,"slug":140,"title":141,"raw_title":11,"is_featured":12,"company":142,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":143,"processed_country_iso_code_gmaps":144,"processed_home_office":62,"processed_salary_min":101,"processed_salary_max":102,"processed_salary_currency":118,"processed_salary_source":24,"processed_working_hours":145,"processed_employment_types":27,"processed_it_skills":146,"processed_it_skills_labels":147,"processed_job_expertise_skills":150,"processed_job_expertise_skills_labels":151,"max_cpc":51,"actual_cpc":52},70545,"senior-business-system-analyst-bank-of-montreal","Senior Business System Analyst",{"name":58,"slug":59,"logo_url":11},[17],[19],[26],{"aws":31,"sql":29,"ssis":31,"nosql":31,"scala":31,"spark":31,"hadoop":31,"python":31,"netezza":31,"unix\u002Flinux scripting":31},[33,68,34,70,71,69,148,149,74,38],"Unix\u002FLinux scripting","AWS",{"ai\u002Fml":30,"data mapping":29,"data modeling":29,"data warehousing":29,"analysis techniques":29,"predictive analytics":30,"problem decomposition":29},[152,129,130,153,154,155,156],"Data warehousing","Problem decomposition","Analysis techniques","Predictive analytics","AI\u002FML",{"id":158,"slug":159,"title":160,"raw_title":11,"is_featured":12,"company":161,"raw_hiringOrganization_logo_url":11,"processed_city_gmaps":162,"processed_country_iso_code_gmaps":163,"processed_home_office":20,"processed_salary_min":164,"processed_salary_max":165,"processed_salary_currency":23,"processed_salary_source":24,"processed_working_hours":166,"processed_employment_types":27,"processed_it_skills":167,"processed_it_skills_labels":168,"processed_job_expertise_skills":174,"processed_job_expertise_skills_labels":175,"max_cpc":51,"actual_cpc":52},70567,"senior-manager-data-engineering-bank-of-montreal","Senior Manager Data Engineering",{"name":58,"slug":59,"logo_url":11},[17],[19],94600,176000,[26],{"aws":29,"sql":29,"jira":31,"ssis":29,"azure":29,"ci\u002Fcd":29,"nosql":29,"scala":29,"spark":29,"devops":29,"hadoop":29,"python":29,"netezza":29,"aws glue":29,"apache airflow":29,"infrastructure as code":29},[33,68,34,69,70,71,72,149,169,74,38,170,171,172,173,75],"Azure","Apache Airflow","DevOps","CI\u002FCD","Infrastructure as Code",{"qa":29,"etl":29,"debugging":29,"automation":29,"ai concepts":29,"data mining":29,"data mapping":29,"unit testing":29,"data analysis":29,"data modeling":29,"generative ai":29,"agile delivery":29,"data profiling":29,"streaming data":29,"cloud computing":29,"batch processing":29,"data engineering":29,"data warehousing":29,"code optimization":29,"prompt engineering":29,"process improvement":29,"regulatory compliance":29,"solution architecture":29,"software engineering standards":29,"retrieval-augmented generation (rag)":29},[176,177,178,179,180,85,87,86,78,133,80,81,88,181,90,182,183,184,185,186,77,187,188,189,190],"Data Engineering","ETL","Solution Architecture","Data Modeling","Data Mining","Software Engineering Standards","Automation","Code Optimization","Debugging","Unit Testing","QA","Cloud Computing","Batch Processing","Streaming Data","Regulatory Compliance",{"industry":192,"employment_type":199,"expertise_skills":202,"it_skills":259,"salary_currency":315,"processed_working_hours":318},[193,196],{"key":194,"label":195,"count":5},"financial services","Financial Services",{"key":197,"label":198,"count":29},"banking","Banking",[200],{"key":27,"label":201,"count":5},"PERMANENT",[203,206,208,210,212,214,216,218,221,224,226,228,230,233,235,237,239,241,244,247,249,251,254,257],{"key":204,"label":86,"slug":204,"count":205},"data-mapping",5,{"key":207,"label":87,"slug":207,"count":29},"data-profiling",{"key":209,"label":85,"slug":209,"count":29},"data-analysis",{"key":211,"label":88,"slug":211,"count":29},"agile-delivery",{"key":213,"label":179,"slug":213,"count":31},"data-modeling",{"key":215,"label":90,"slug":215,"count":31},"process-improvement",{"key":217,"label":89,"slug":217,"count":30},"regression-testing",{"key":219,"label":220,"slug":219,"count":30},"generative-ai","Generative Ai",{"key":222,"label":223,"slug":222,"count":30},"ai-concepts","Ai Concepts",{"key":225,"label":80,"slug":225,"count":30},"prompt-engineering",{"key":227,"label":91,"slug":227,"count":30},"technical-design",{"key":229,"label":92,"slug":229,"count":30},"automation-scripting",{"key":231,"label":232,"slug":231,"count":30},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":234,"label":77,"slug":234,"count":30},"data-warehousing",{"key":236,"label":176,"slug":236,"count":51},"data-engineering",{"key":238,"label":184,"slug":238,"count":51},"debugging",{"key":240,"label":183,"slug":240,"count":51},"code-optimization",{"key":242,"label":243,"slug":242,"count":51},"predictive-analytics","Predictive Analytics",{"key":245,"label":246,"slug":245,"count":51},"aiml","Ai\u002FMl",{"key":248,"label":47,"slug":248,"count":51},"process-design",{"key":250,"label":182,"slug":250,"count":51},"automation",{"key":252,"label":253,"slug":252,"count":51},"data-warehousing-concepts","Data Warehousing Concepts",{"key":255,"label":256,"slug":255,"count":51},"ai-powered-tools-in-sdlc","Ai-Powered Tools In Sdlc",{"key":258,"label":50,"slug":258,"count":51},"operational-efficiency",[260,262,264,266,268,270,273,275,278,281,284,287,288,289,290,291,294,297,298,301,304,307,309,312],{"key":261,"label":38,"slug":261,"count":5},"netezza",{"key":263,"label":34,"slug":263,"count":5},"python",{"key":265,"label":33,"slug":265,"count":5},"sql",{"key":267,"label":74,"slug":267,"count":205},"hadoop",{"key":269,"label":69,"slug":269,"count":205},"spark",{"key":271,"label":272,"slug":271,"count":205},"nosql","Nosql",{"key":274,"label":70,"slug":274,"count":205},"scala",{"key":276,"label":277,"slug":276,"count":205},"ssis","Ssis",{"key":279,"label":280,"slug":279,"count":29},"jira","Jira",{"key":282,"label":283,"slug":282,"count":29},"aws-glue","Aws Glue",{"key":285,"label":286,"slug":285,"count":31},"cloud-storage-and-computing-services-aws-azure","Cloud Storage And Computing Services (Aws, Azure)",{"key":231,"label":232,"slug":231,"count":30},{"key":222,"label":223,"slug":222,"count":30},{"key":255,"label":256,"slug":255,"count":30},{"key":225,"label":80,"slug":225,"count":30},{"key":292,"label":293,"slug":292,"count":30},"genai","Genai",{"key":295,"label":296,"slug":295,"count":30},"aws","Aws",{"key":234,"label":77,"slug":234,"count":30},{"key":299,"label":300,"slug":299,"count":51},"unixlinux-scripting","Unix\u002FLinux Scripting",{"key":302,"label":303,"slug":302,"count":51},"etlelt","Etl\u002FElt",{"key":305,"label":306,"slug":305,"count":51},"infrastructure-as-code","Infrastructure As Code",{"key":308,"label":37,"slug":308,"count":51},"oracle",{"key":310,"label":311,"slug":310,"count":51},"pyspark","Pyspark",{"key":313,"label":314,"slug":313,"count":51},"sql-server-management-studio","Sql Server Management Studio",[316,317],{"key":23,"label":23,"count":29},{"key":118,"label":118,"count":30},[319],{"key":26,"label":26,"count":5},{"total":321,"jobs":322},0,[]]