Senior Denodo Developer Banking Domain

Position: Denodo Developer Experience: 6+ years

Location: Remote

Domain Expertise: Banking / Financial Services

About the Role We are looking for an experienced Denodo Developer with a strong background in data virtualization, integration, and analytics. The ideal candidate will have hands-on experience implementing Denodo solutions in the banking sector, working with large-scale financial data, ensuring compliance, and enabling seamless data access across business units.

Key Responsibilities

• Design, develop, and maintain Denodo-based data virtualization solutions to integrate structured, semi-structured, and unstructured data sources.
• Collaborate with banking domain SMEs, architects, and analysts to understand business requirements and translate them into scalable Denodo solutions.
• Develop data services, views, and APIs in Denodo for real-time and batch integration scenarios. Optimize Denodo queries and data models for performance and scalability in high-volume banking environments.
• Implement data security, masking, and governance policies aligned with regulatory compliance (e.g., PCI-DSS, GDPR, Basel norms).
• Provide production support, troubleshoot issues, and ensure availability of data virtualization platforms.
• Document technical designs, architecture, and workflows for stakeholders and audit purposes. Mentor junior developers and contribute to best practices in data virtualization and banking data solutions. Required Skills & Qualifications
• 6+ years of IT experience with at least 3+ years in Denodo development. Strong expertise in Denodo VDP, Denodo Scheduler, and Denodo Data Catalog.
• Proficiency in SQL, query optimization, and performance tuning. Experience with data integration, ETL/ELT tools, and API-based integrations.
• Exposure to banking domain processes such as: Core banking systems (CBS) Payments (SWIFT, RTGS, NEFT) Risk & Compliance reporting Customer data management (KYC, AML) Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid data virtualization setups. Understanding of data governance, metadata management, and data lineage. Strong problem-solving, communication, and collaboration skills.