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 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 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