Senior Consultant – Cloud – Careers at Virtusa – Colombo – LK

Job Overview

Senior Consultant – Cloud

JD : Redshift

* 2+ years of hands on experience with Amazon Redshift implementations

* Strong, indepth experience in data modeling and experience with business intelligence systems.

* Strong AWS pipeline design/development experience for data movement to Redshift

* 15+ years of experience in data architecture, analytics, designs and development

* Design and develop batch and real-time streaming of data loads to data lakes

* Experience in building modern data platform and automation of data pipelines

* Experience in data management, data governance, master data management and meta data management

JD : Synapse

• 2+ years’ experience in Data warehouse/analytical systems using Azure Synapse
• Experience with Azure SQL database, Azure Data Factory, Azure Storage, Azure Pipelines, Azure Iaas/Paas related database implementations.
• Strong, indepth experience in data modeling and experience with business intelligence systems.
• 15+ years of experience in data architecture, analytics, designs and development
• Design and develop batch and real-time streaming of data loads to data warehouse systems
• Experience in building modern data platforms and automation of data pipelines
• Experience in data management, data governance, master data management and meta data management

JD : Collibra

* Extensive experience in meta data management using Collibra Business process management workflows

* Strong understanding of data security, compliance  and policy requirements

* Extensive experience in configuring collibra data governance center on buisness requirements and specifications

* Expertise in defining and implementing standards and processes to ensure alignment with the architectural strategy and goals of the business

* Strong, indepth experience in data modeling and experience with business intelligence systems.

* 15+ years of experience in data architecture, analytics, designs and development

*Experience in architecting data platforms, data lineage, data operating models, data collection, data flow management, master data management, data quality and data security.

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