Lead Software Engineer

Required EducationBS/BA degree in Computer Science, Information Systems, or related fieldRequired SkillsExperience using Qlik or related Business Intelligence technologies such as WebFocus, Tableau, PowerBIDeep understanding of high-performant data concepts such as file stores, wide column databases, key-value pairs, etc.Excellent oral and written communicationExcellent problem-solving skillsHighly analytical with the ability to work independentlyExpertise with Java, API, Angular, ReactBuilding Agentic Framework using MCP layers and LLMsLogical designing and Analytical skills based on product and platform requirement.Desired SkillsExperience working with open source softwareExperience working with extremely large data setsExperience integrating new and emerging technologies into existing environmentsProvide oversight and guidance to Data Engineering development teamRoleThe Software Engineer role is responsible for working on developing data engineering solutions, approaches for ingestion, transformation and storage. In addition, you ll work within the Fraud Data Engineering team to grow their knowledge and expertise. You will get the chance to work with extremely large data sets and be on the cutting edge of transforming the way we captures, processes, stores and visualizes transactional data.ResponsibilitiesExplore and develop Framework to support Agentic productsDevelop both internal and external dashboards using QlikWork closely with team members from to identify functional and system requirementsWork with team in resolving any issues that arise with dashboards, tasks, user access.Install the Qlik Sense Application expand clusters, add new clusters rare but important.Configure the applicationAdd/Remove/Maintain Data sourcesManage dashboard deploymentsMaintain Security Rules Add/Remove/Modify as neededPeriodic evaluation of clusters with team managementDesign, develop and implement DataMart's with quality and integrity at the top of mind to support our productsCreate documentation to support knowledge sharing; including flowcharts and diagramsProvide oversight and guidance to our Data Engineering development teamRead and interpret conceptual, logical, and physical modelsUnderstand data modeling concepts and their application: entities and tables, relations and constraints, attribute data types and column data types