Senior Data Engineer

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., 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.

• 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