 
						Lead Data Solutions Architect
1 semana atrás
Job SummaryWe are seeking a highly skilled Lead Data Solutions Architect with 5+ years of experience in developing software using Angular, .NET, and SQL to design and implement analytics dashboard web applications for our industry-leading client.In this role, you will develop new capabilities in the client's core data product to support its e-commerce service.About the CompanyOur company is a privately held, nearshore software development company providing outsourced development resources to North American companies.Our mission is to offer development talent who enjoy taking on challenging work, want to grow their skills and experiences building software, and excel in a fast-paced, dynamic team environment.ResponsibilitiesCreate high-quality, architecturally sound, extensible solutions to find actionable insights from data and workflow to act on insightsDevelop APIs and UIs for a web-based analytics dashboard applicationParticipate in the architecture, coding, and testing of developed systemsAssess requirements, discuss, and debate possible solutionsTroubleshoot to find and fix bugsWrite unit testing (TDD & BDD) and ensure good code coverageRequirementsExcellent English communication skills (both verbal and written)5+ years of professional experience developing software with SQL, Angular, .NET/C#3+ years of AWS or other cloud platform experienceExperience writing 500+ line analytics SQL queriesExtensive experience with Angular and TypescriptExperience with Node.js, especially the Nest.js frameworkBuilt a data dashboard with dynamic tables and chartsFluent in Agile/ScrumDemonstrated ability to work both independently and with a teamTrack record of building professional, high-quality, and on-time softwareProven delivery experience in a vibrant, dynamic startup environmentDesired QualificationsCI/CD experience with CircleCI, Jenkins, or similar technologiesHands-on experience with Node.jsWriting efficient SQL queries for big-data databases, such as SnowflakeExperience with container-based systems, such as Docker and AWS ECSExperience with serverless computing, such as AWS LambdaFamiliarity with microservices architectures and DevOpsData management and analytics experience with dbt, FiveTran, and LookerExperience with e-commerce data or analytics applications
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