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Job description
Title: Senior Data Engineer
Location: Newark, NJ (Hybrid)
Duration: 6 Months (Right to hire)
Job Summary
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.
Key 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.
Required Qualifications 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
Who can apply
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