Senior Denodo Data Virtualization Engineer

CodeNinja Inc.

. Design, develop, and maintain Denodo data virtualization layers for enterprise and banking environments .

Posted 9/29/2026contractRiyadh • Saudi ArabiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in Denodo Data Virtualization, including the design and optimization of data models and integration of diverse data sources. Proficient in banking data modeling and data governance practices, ensuring high-quality data access and security.

Highest-signal resume keywords

Denodo Data VirtualizationBanking Data ModelingSQL DevelopmentData IntegrationBusinessObjects BI

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Denodo ArchitectureData ServicesQuery OptimizationData QualityData GovernanceData LineageData WarehousingData ModelingREST APIsPerformance Tuning

Tools & Technologies

Informatica Data ManagementBusinessObjects BIOracleSQL ServerPostgreSQLHadoopSpark

Certifications & Qualifications

Denodo CertificationInformatica CertificationData Management Certification

Industry Keywords

BankingFinancial ServicesData VirtualizationEnterprise Data WarehouseBig DataData IntegrationData GovernanceData Quality

Tech Stack

Tools & technologies

CloudETLHadoopInformaticaOraclePostgresSparkSQL

About the role

Key responsibilities & impact

Design, develop, and maintain Denodo data virtualization layers for enterprise and banking environments
Develop reusable Base Views, Derived Views, Associations, Data Services, Cached Views, and Semantic/Business Views
Integrate and virtualize data from EDWs, relational databases, data lakes, banking applications, operational systems, and APIs
Apply banking data modeling principles to build efficient and business-oriented virtual data models
Translate business and technical requirements into scalable data virtualization solutions
Optimize Denodo queries, joins, aggregations, caching strategies, and data source configurations
Implement data security, access control, masking, and governance mechanisms
Support enterprise-wide logical and semantic data models and data access services
Troubleshoot data quality, connectivity, integration, and performance issues
Support integration between Denodo and BusinessObjects BI and other analytics platforms
Develop and maintain technical documentation, including data mappings, virtual models, and solution designs
Collaborate with Data Governance and Data Management teams to maintain enterprise data standards
Participate in testing, deployment, performance tuning, and production support
Support integration and interoperability with Informatica Data Management technologies

Requirements

What you’ll need

3+ years of hands-on experience with Denodo Data Virtualization
Strong understanding of Denodo architecture and components
Hands-on experience with Base Views, Derived Views, Associations, Data Services, Cached Views, and Semantic/Business Views
Experience with Denodo query optimization and performance tuning
Strong understanding of data virtualization versus traditional ETL/ELT approaches
Experience integrating heterogeneous data sources
Strong hands-on experience with banking data modeling
Understanding of banking domains including Customer/Party, Accounts, Deposits, Loans, Credit Cards, Transactions, Payments, General Ledger/Finance, and Risk
Ability to work with conceptual, logical, and physical data models
Experience with enterprise banking data warehouses highly desirable
Understanding of EDW, BI, Big Data/Data Lakes, Data Integration, Data Governance, Data Quality, MDM, Metadata Management, Data Lineage, Data Architecture, and Data Virtualization
Hands-on experience with BusinessObjects BI
Understanding of universes, semantic layers, reports, and queries
Experience integrating BusinessObjects with enterprise data platforms or virtualized data sources
Experience with Informatica Data Management technologies highly desirable, including PowerCenter, IDQ, EDC, and Data Governance/Metadata Management
Strong SQL development and performance-tuning skills
Experience with Oracle, SQL Server, PostgreSQL, or other enterprise databases
Experience with data integration across heterogeneous platforms
Knowledge of Hadoop, Spark, or similar Big Data technologies is an advantage
Understanding of cloud data platforms is an advantage
Knowledge of REST APIs and data services
Understanding of Data Governance, Data Quality, and Data Lineage
Experience within banking or financial services environments highly preferred
Bachelor's degree in Computer Science, Information Technology, Data Management, Engineering, or a related field
Denodo, Informatica, Data Management, or related professional certifications are an advantage

Benefits

Comp & perks

Competitive compensation based on experience and qualifications
Opportunity to work on enterprise-scale technology and digital transformation projects
Exposure to banking, financial services, AI, data, and emerging technology environments
Professional growth and learning opportunities
Collaborative and technically driven work environment
Opportunity to work with experienced technology and consulting professionals