Experience: 5–8 years
Overall Experience: Minimum 4+ years in Data Engineering, Data Management, or Analytics Platforms
Denodo Experience: Minimum 2 years
Work Arrangement: Onsite
Joining: Immediate joiner preferred
Job SummaryWe are looking for an experienced Denodo Self-Service Data Platform Engineer to design, develop, and support enterprise data virtualization solutions. The candidate will enable business users and analysts to access trusted, secure, and governed data through scalable self-service analytics platforms.
Key Responsibilities
Required Skills and ExperienceMust-Have Overall Experience: Minimum 4+ years in Data Engineering, Data Management, or Analytics Platforms. * Denodo Experience: Minimum 2+ years of hands-on experience with the Denodo Data Virtualization Platform. * Denodo Development: Strong experience with Denodo Virtual DataPort (VDP) and Design Studio, including developing and maintaining virtual views. * Data Virtualization: Strong understanding of data virtualization architecture, data abstraction, query optimization, caching, and performance tuning. * SQL and Data Modeling: Proficiency in SQL, advanced query development, logical and semantic data modeling, and ETL/ELT concepts. * Data Integration: Experience integrating data from multiple sources, including relational databases, cloud platforms, APIs, ERP systems, and SaaS applications. * Data Governance and Security: Knowledge of RBAC, data masking, metadata management, data cataloging, lineage tracking, and access control. * BI and Analytics: Experience integrating or supporting BI tools, particularly Power BI, Tableau, or Qlik. * Data Quality: Understanding of data transformation, validation, data quality rules, and enterprise data management practices. * Troubleshooting: Ability to monitor, diagnose, and resolve data virtualization and query performance issues. * Documentation: Ability to prepare technical designs, data dictionaries, operational procedures, and support documentation. * Soft Skills:* Strong analytical, problem-solving, communication, and collaboration skills, with the ability to work with business and technical stakeholders.
Good-to-Have Denodo Certification: Denodo Certified Professional or Denodo Certified Developer certification. * Additional Denodo Tools: Hands-on experience with Denodo Data Catalog, Scheduler, and Solution Manager. * Cloud Platforms: Experience working with Microsoft Azure, AWS, or Google Cloud Platform (GCP). * Modern Data Technologies: Exposure to Azure Data Factory, Databricks, Azure Synapse Analytics, or Snowflake. * Database Technologies: Experience with Oracle, SQL Server, PostgreSQL, MySQL, Azure SQL, or Amazon Redshift. * API Integration: Familiarity with REST/SOAP APIs and enterprise data integration patterns. * Advanced Analytics: Experience with SAP Analytics Cloud or other enterprise analytics platforms. * Data Architecture: Understanding of Data Mesh and Data Fabric architectures. * Governance Solutions: Exposure to enterprise data governance and data catalog solutions. * Delivery Methodologies: Experience with Agile, Scrum, and DevOps methodologies. * Self-Service Analytics: Experience implementing enterprise-wide self-service data and analytics solutions across cloud and on-premises environments. * Stakeholder Enablement:* Experience delivering user training, knowledge transfer, and technical guidance to business users and analysts.
Key Deliverables
