Denodo Self-Service Data Platform Engineer

Experience: 5–8 years Overall Experience: Minimum 4+ years in Data Engineering, Data Management, or Analytics Platforms Denodo Experience: Minimum 2 years Work Arrangement: Onsite Joining: Immediate joiner preferred Job Summary We are looking for an experienced Denodo Self-Service Data Platform Engineer to design, develop, and support enterprise data virtualization solutions. The candidate will enable business users and analysts to access trusted, secure, and governed data through scalable self-service analytics platforms. Key

Design and develop self-service data products, reusable data services, and virtual views using Denodo. Develop and maintain Denodo Virtual DataPort (VDP) views, logical data models, and semantic layers. Integrate data from databases, cloud platforms, APIs, ERP systems, and SaaS applications.

Optimize query performance, caching strategies, and data virtualization architecture. Implement data transformation, data quality rules, and data abstraction layers. Manage data governance, role-based access control (RBAC), data masking, metadata, data cataloging, and lineage.

Integrate Denodo with Power BI, Tableau, Qlik, and other BI platforms. Monitor platform performance, troubleshoot issues, and support upgrades and releases. Prepare technical documentation, data dictionaries, operational procedures, and user training materials.

Provide Level 2/Level 3 support and collaborate with business and technical teams to improve self-service analytics.