Senior Data Engineer

Senior Data EngineerWe are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable virtualized data products and semantic-layer solutions. The ideal candidate will have expertise in data integration, virtualization, API enablement, and cloud-based ETL development. This role will partner closely with Solution Architects, Tech Leads, AI Engineers, and Business SMEs to deliver trusted, governed, and AI-consumable data assets.Key ResponsibilitiesDenodo DevelopmentDevelop and maintain layers of viewsBuild virtualized data products using Denodo best practicesImplement: Relationship, joins, standardization, transformationsApply enterprise naming conventions and business metadata standardsData EngineeringBuild and support ETL/ELT pipelines using AWS servicesIntegrate data from multiple source systems, APIs, cloud platforms, and operational applicationsSupport creation of canonical data models and semantic-layer entitiesDevelop reusable data transformation componentsPerformance OptimizationOptimize Denodo query performanceImplement caching and accelerator strategiesTune joins, aggregations, and virtualized query executionTroubleshoot complex performance and integration issuesRequired Qualifications5+ years of Data Engineering experience3+ years of Denodo development experienceStrong knowledge of: Virtual Data Models, Data Integration, SQL, Data Warehousing, Dimensional ModelingExperience with: AWS Lambda, ETL/ELT development, APIs and Web Services, Data Product developmentExperience implementing: Join strategies, Aggregations, Union operations, Data standardization frameworksPreferred QualificationsExposure to: AI/Agent engineering ecosystems, LLMOps concepts