Denodo Developer - Application Support
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Key skills for this role
About the Role
Tata Consultancy Services is seeking a Denodo Developer for application support in Jeddah. The role involves Denodo development, data virtualization, L1/L2 support, incident management, and integration with data lakehouse environments.
Key Skills for This Role
Responsibilities
- Design, develop, and optimize Denodo views, VDP models, and data services
- Build and maintain logical data layers for analytics, BI, and reporting
- Implement data federation, caching strategies, and query optimization
- Integrate Denodo with Lakehouse sources (databases, cloud, object storage)
- Provide L1/L2 support for Denodo platform components
- Monitor system health, query workloads, and server performance using Denodo monitoring tools
- Perform daily health checks and publish operational status reports
- Act as the first point of contact for incidents impacting Denodo services
- Troubleshoot query failures, slow performance, and data access issues
- Conduct root cause analysis (RCA) and implement preventive measures
Requirements
- 3–8+ years in Denodo development and application support
- Strong expertise in data virtualization, federation, and query optimization
- Hands on experience with Denodo tools and logs (VDP, Scheduler, Catalog, Tomcat)
- Experience in Data Lakehouse environments (Teradata/Hadoop/Cloud)
- Strong SQL and metadata management knowledge
- Proven experience in incident management and production support
- Ability to work in 24/7 support/on call environments
- Bachelor’s/Master’s in Computer Science or related field
- Denodo Certification (preferred)
Full Job Posting
Job Title
- Denodo Developer Application Support
About Us
- Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 50 years.
Denodo Development & Data Virtualization
- Design, develop, and optimize Denodo views, VDP models, and data services
- Build and maintain logical data layers for analytics, BI, and reporting
- Implement data federation, caching strategies, and query optimization
- Integrate Denodo with Lakehouse sources (databases, cloud, object storage)
- Support code migration, deployment, and post release stabilization
Application Support & Operations
- Provide L1/L2 support for Denodo platform components: Virtual DataPort (VDP), Data Catalog, Scheduler, Solution Manager
- Monitor system health, query workloads, and server performance using Denodo monitoring tools
- Perform daily health checks and publish operational status reports
Incident & Problem Management
- Act as the first point of contact for incidents impacting Denodo services
- Troubleshoot query failures, slow performance, and data access issues
- Perform job reruns, service recovery, and SLA based resolution
- Conduct root cause analysis (RCA) and implement preventive measures
Data Lakehouse Integration
- Support connectivity across databases, Teradata, cloud platforms, and external data sources
- Ensure reliable data virtualization and federated query execution
- Manage metadata ingestion, lineage, and catalog population
Scheduler & Job Orchestration
- Monitor and manage: Cache refresh jobs, Scheduled queries and pipelines, API based automation workflows
- Troubleshoot job failures, delays, and concurrency issues
Web & Backend Application Support
- Support Denodo UI modules (React/Redux based interfaces)
- Troubleshoot UI errors, rendering issues, and browser compatibility
- Analyze Java logs, REST API failures, JVM performance, and Tomcat issues
- Resolve backend service disruptions affecting VDP and metadata services
Metadata & Database Support
- Manage Denodo metadata repository (SQL Server 2022)
- Ensure metadata consistency, integrity, and growth monitoring
- Support backup, validation, and environment synchronization
Performance Optimization
- Optimize query execution plans, caching, and federation strategies
- Improve performance across large scale Data Lakehouse workloads
- Identify bottlenecks in data access, services, and infrastructure
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