Denodo Self-Service Data Platform Engineer

Job Summary

Key Responsibilities

• 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.

Must-Have

• Minimum 4+ years in Data Engineering, Data Management, or Analytics Platforms.
• Minimum 2+ years of hands-on experience with the Denodo Data Virtualization Platform.
• Strong experience with Denodo Virtual DataPort (VDP) and Design Studio, including developing and maintaining virtual views.
• Strong understanding of data virtualization architecture, data abstraction, query optimization, caching, and performance tuning.
• Proficiency in SQL, advanced query development, logical and semantic data modeling, and ETL/ELT concepts.
• Experience integrating data from relational databases, cloud platforms, APIs, ERP systems, and SaaS applications.
• Knowledge of RBAC, data masking, metadata management, data cataloging, lineage tracking, and access control.
• Experience integrating or supporting BI tools, particularly Power BI, Tableau, or Qlik.
• Understanding of data transformation, validation, data quality rules, and enterprise data management practices.
• Ability to monitor, diagnose, and resolve data virtualization and query performance issues.
• Ability to prepare technical designs, data dictionaries, operational procedures, and support documentation.
• Strong analytical, problem-solving, communication, and collaboration skills with business and technical stakeholders.

Good-to-Have

• Denodo Certified Professional or Denodo Certified Developer certification.
• Hands-on experience with Denodo Data Catalog, Scheduler, and Solution Manager.
• Experience working with Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Exposure to Azure Data Factory, Databricks, Azure Synapse Analytics, or Snowflake.
• Experience with Oracle, SQL Server, PostgreSQL, MySQL, Azure SQL, or Amazon Redshift.
• Familiarity with REST/SOAP APIs and enterprise data integration patterns.
• Experience with SAP Analytics Cloud or other enterprise analytics platforms.
• Understanding of Data Mesh and Data Fabric architectures.
• Exposure to enterprise data governance and data catalog solutions.
• Experience with Agile, Scrum, and DevOps methodologies.
• Experience implementing enterprise-wide self-service data and analytics solutions across cloud and on-premises environments.
• Experience delivering user training, knowledge transfer, and technical guidance to business users and analysts.

Key Deliverables