Data Virtualization Engineer

5 days ago


Ashburn, Virginia, United States Kaygen Full time
Job Overview:

KAYGEN is a leading provider of technology-based staffing services. Our expertise spans high-volume contingent staffing, direct hire staffing, and project-based solutions for companies worldwide. From startups to Fortune 500 enterprises and Managed Service Providers (MSPs), we cater to various industries.

We are seeking an experienced Data Virtualization Engineer to join our dynamic team. The ideal candidate will design, develop, and manage data integration solutions using Denodo Virtual Data Platform. As a key member, you will collaborate with data architects, analysts, and other teams to integrate, optimize, and deliver real-time data access solutions that support business decisions.

Key Responsibilities:
  • Data Integration & Virtualization: Design, develop, and implement data virtualization solutions using Denodo. Create virtual data layers to enable seamless access to disparate data sources without physical data movement.
  • ETL Processes: Develop, configure, and maintain ETL pipelines, utilizing Denodo's capabilities for data transformation, aggregation, and enrichment.
  • Data Modeling: Collaborate with data architects to design and implement logical data models, ensuring efficient data retrieval and security policies.
  • Performance Tuning: Optimize Denodo queries, data models, and integrations for performance and scalability, ensuring high availability and low-latency data access.
  • Security and Governance: Implement security policies, access control, and data governance measures in Denodo to ensure compliance with internal and external regulations.
  • Cross-Functional Collaboration: Work closely with data analysts, BI teams, and other stakeholders to understand business requirements and translate them into actionable data models and virtual views.
  • Troubleshooting & Support: Provide troubleshooting and support for Denodo-related issues, including query performance, connection issues, and data consistency problems.


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