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Senior Denodo Data Virtualization Developer

Mphasis Ltd

Senior Denodo Data Virtualization Developer

Mphasis Ltd

Bengaluru/Bangalore

Not disclosed

Work from Office

Full Time

Min. 6 years

Job Description

Senior Engineer

Role Title:	Denodo Data Virtualization Developer
Location:	India
Years of Experience (Tot/Rel):	Total 6-8 Years, Denodo Relevant 3-5 Years
Technical Skills:	Denodo Platform 9.2 Denodo Scheduler CI/CD experience in Denodo SQL SQL Server, Oracle Java programming AWS( ECS, ECR, Secret Manager, S3, IAM) Docker, Kubernetes Git, Jenkins, Maven Agile software development methodologies REST APIs Security protocols (OAuth, SAML) Databricks ,Power BI
Roles & Responsibilities:	1)Develop and maintain Denodo Views and data virtualization layers to unify data from diverse sources such as relational databases, cloud platforms, big data, and SaaS applications 2)Optimize query performance and tune the Denodo environment to ensure efficient data retrieval 3)Design and implement scheduling jobs within Denodo (e.g., Denodo Scheduler) to automate data workflows 4)Coordinate with business stakeholders, data architects, and analysts to gather requirements, analyze data needs, and design appropriate virtual data models 5)Develop new functionalities and maintain existing features on the Denodo platform, including writing automated tests and maintaining product documentation 6)Implement security protocols and access controls to protect data within the virtualization platform 7)Troubleshoot integration and data quality issues within the virtualized environment
Qualification & Certification (If any) :	Denodo Platform Certified Developer, Denodo Platform Certified Administrator
Must to have skills:	Denodo Platform 9.2 Denodo Scheduler CI/CD experience in Denodo SQL SQL Server, Oracle Java programming AWS( ECS, ECR, Secret Manager, S3, IAM) Docker, Kubernetes Git, Jenkins, Maven Agile software development methodologies Strong analytical, problem-solving, and communication skills
Good to have	REST APIs Security protocols (OAuth, SAML) Databricks ,Power BI