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Denodo developer

Melbourne
ITC Infotech
Developer
Posted: 28 April
Offer description

Experience

4–12 Years (customize as needed)

Role Overview

We are looking for an experienced Denodo Developer with strong expertise in data virtualization, data integration, and data modelling. The ideal candidate should have hands-on experience in designing, developing, and optimizing data virtualization solutions using the Denodo Platform.

Key Responsibilities

* Design and develop Denodo views including base views, derived views, interface views, and summary views.
* Build and optimize Denodo data virtualization layers for various data sources.
* Implement data integration, federation, and abstraction using the Denodo Platform.
* Work closely with data architects, business analysts, and application teams to gather requirements and translate them into technical solutions.
* Create and manage Denodo deployments, versioning, and promotion of views across environments.
* Develop REST/SOAP web services and APIs using Denodo.
* Perform performance tuning, query optimization, caching, and monitoring of Denodo solutions.
* Troubleshoot and resolve issues related to data performance, connectivity, or Denodo platform behavior.
* Assist in creating documentation, best practices, and standards for Denodo development.

Technical Skills Required

* Strong hands-on experience with the Denodo Platform (v7/v8/v8.1 preferred).
* Strong SQL skills and experience working with multiple databases (Oracle, SQL Server, PostgreSQL, Snowflake, etc.).
* Experience with data modelling concepts, data integration, and ETL/ELT processes.
* Experience in REST API and SOAP service development.
* Knowledge of Java, JDBC, ODBC, and related connectors (optional but advantageous).
* Hands-on knowledge of Denodo Scheduler, I18N, Caching, and Optimizer.
* Understanding of security concepts like SAML, OAuth, LDAP/AD integration.

Good to Have

* Experience working in cloud platforms such as AWS / Azure / GCP.
* Knowledge of BI tools (Power BI, Tableau, Qlik).
* Exposure to Big Data technologies (Hadoop, Spark).
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