Senior Data Engineer Denodo / AWS Data Virtualization

Requirements: We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable virtualized data products and semantic-layer solutions. This role will partner closely with Solution Architects, Tech Leads, AI Engineers, and Business SMEs to deliver trusted, governed, and AI-consumable data assets.

Our client, a IT Services and Consulting company, is looking for a Senior Data Engineer – Denodo / AWS Data Virtualization for their Newark, NJ/Hybrid location.
 
Responsibilities:

• Denodo Development
• Develop and maintain layers of views;
• Build virtualized data products using Denodo best practices.
• Implement: Relationship, joins, standardization, transformations
• Apply enterprise naming conventions and business metadata standards.
• Data Engineering:
• Build and support ETL/ELT pipelines using AWS services.
• Integrate data from multiple source systems, APIs, cloud platforms, and operational applications.
• Support creation of canonical data models and semantic-layer entities.
• Develop reusable data transformation components.
• Performance Optimization:
• Optimize Denodo query performance.
• Implement caching and accelerator strategies.
• Tune joins, aggregations, and virtualized query execution.
• Troubleshoot complex performance and integration issues.

 
Requirements:

• We are seeking a hands-on Senior Data Engineer with strong Denodo experience to design, build, and maintain scalable virtualized data products and semantic-layer solutions.
• The ideal candidate will have expertise in data integration, virtualization, API enablement, and cloud-based ETL development.
• This role will partner closely with Solution Architects, Tech Leads, AI Engineers, and Business SMEs to deliver trusted, governed, and AI-consumable data assets.
• 5+ years of Data Engineering experience.
• 3+ years of Denodo development experience.
• Strong knowledge of:
• Virtual Data Models
• Data Integration
• SQL
• Data Warehousing
• Dimensional Modeling
• Experience with:
• AWS Lambda
• ETL/ELT development
• APIs and Web Services
• Data Product development
• Experience implementing:
• Join strategies
• Aggregations
• Union operations
• Data standardization frameworks
• Preferred Qualifications
• Exposure to:
• AI/Agent engineering ecosystems
• LLMOps concepts
• Years of Experience: 13.00 Years of Experience

 
Why Should You Apply?

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities