Senior Denodo Data Virtualization Engineer

Design, develop, and optimize data virtualization solutions that provide secure, governed, and high-performance access to data across multiple enterprise and banking data sources.

Key Responsibilities

• 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 multiple sources, including 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 appropriate 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.

Required Qualifications & Skills

• Denodo Data Virtualization
• 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.
• Banking Data Modeling
• Strong hands-on experience with banking data modeling .
• Understanding of banking domains such as: Customer / Party Accounts Deposits Loans Credit Cards Transactions Payments General Ledger / Finance Risk
• Ability to work with conceptual, logical, and physical data models.
• Experience with enterprise banking data warehouses is highly desirable.
• Enterprise Data Management
• Strong understanding of: Enterprise Data Warehouse (EDW) Business Intelligence (BI) Big Data and Data Lakes Data Integration Data Governance Data Quality Master Data Management (MDM) Metadata Management Data Lineage Data Architecture
• Data Virtualization
• Business Intelligence
• 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.
• Informatica
• Experience with Informatica Data Management technologies is highly desirable, including: Informatica PowerCenter Informatica Data Quality (IDQ) Informatica Enterprise Data Catalog (EDC) Informatica Data Governance / Metadata Management Other Informatica data management components

Additional Technical Skills

• 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 Big Data technologies such as Hadoop, Spark, or similar platforms 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.

Banking & Industry Experience

• Experience within banking or financial services environments is highly preferred, particularly experience working with enterprise banking data platforms and data models.

Education & Certifications

• 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.

Key Competencies

• Denodo Data Virtualization | Banking Data Modeling | Enterprise Data Management | EDW | Business Intelligence | Big Data | Data Lake | BusinessObjects | Informatica | Data Integration | Data Governance | Data Quality | SQL | Data Architecture

Desired Candidate Profile

Required Qualifications & Skills

• Denodo Data Virtualization
• 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.
• Banking Data Modeling
• Strong hands-on experience with banking data modeling .
• Understanding of banking domains such as: Customer / Party Accounts Deposits Loans Credit Cards Transactions Payments General Ledger / Finance Risk
• Ability to work with conceptual, logical, and physical data models.
• Experience with enterprise banking data warehouses is highly desirable.
• Enterprise Data Management
• Strong understanding of: Enterprise Data Warehouse (EDW) Business Intelligence (BI) Big Data and Data Lakes Data Integration Data Governance Data Quality Master Data Management (MDM) Metadata Management Data Lineage Data Architecture
• Data Virtualization
• Business Intelligence
• 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.
• Informatica
• Experience with Informatica Data Management technologies is highly desirable, including: Informatica PowerCenter Informatica Data Quality (IDQ) Informatica Enterprise Data Catalog (EDC) Informatica Data Governance / Metadata Management Other Informatica data management components

Additional Technical Skills

• 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 Big Data technologies such as Hadoop, Spark, or similar platforms 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.

Banking & Industry Experience

• Experience within banking or financial services environments is highly preferred, particularly experience working with enterprise banking data platforms and data models.

Education & Certifications

• 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.

Key Competencies

• Denodo Data Virtualization | Banking Data Modeling | Enterprise Data Management | EDW | Business Intelligence | Big Data | Data Lake | BusinessObjects | Informatica | Data Integration | Data Governance | Data Quality | SQL | Data Architecture