Senior Consultant

24 hours ago

Bengaluru, Karnataka, India Virtusa Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 SynapseExperience 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 developmentDesign and develop batch and real-time streaming of data loads to data warehouse systemsExperience in building modern data platforms and automation of data pipelinesExperience 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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