Role Overview :
We are looking for an experienced Denodo SME to design, implement, and optimize data virtualization solutions using Denodo as the enterprise semantic and access layer over a Cloudera-based data lakehouse. The ideal candidate will lead the integration of structured and semi-structured data across systems, enabling unified access for analytics, BI, and operational use cases.
Key Responsibilities:
Design and deploy the Denodo Platform for data virtualization over Cloudera, RDBMS, APIs, and external data sources.
Define logical data models , derived views, and metadata mappings across layers (integration, business, presentation).
Connect to Cloudera Hive, Impala, Apache Iceberg  , Oracle, and other on-prem/cloud sources.
Publish REST/SOAP APIs, JDBC/ODBC endpoints   for downstream analytics and applications.
Tune virtual views, caching strategies, and federation techniques to meet performance SLAs for high-volume data access. Implement Denodo smart query acceleration , usage monitoring, and access governance.
Configure role-based access control (RBAC)  , row/column-level security, and integrate with enterprise identity providers (LDAP, Kerberos, SSO).
Work with data governance teams to align Denodo with enterprise metadata catalogs (e.g., Apache Atlas, Talend). Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Skills Required :
8–12 years in data engineering, with 4+ years of hands-on experience in Denodo Platform  .
Strong experience integrating RDBMS (Oracle, SQL Server), Cloudera CDP (Hive, Iceberg), and REST/SOAP APIs.Denodo Admin Tool, VQL, Scheduler, Data Catalog; SQL, Shell scripting, basic Python (preferred).Deep understanding of query optimization  , caching, memory management, and federation principles.
Experience implementing data security, masking, and user access control in Denodo.

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IBM

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Denodo SME