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Virtusa
At least 3 years of experience in architect role are required along with at least 2 3 years experience designing and building analytics solutions in Azure.
Demonstrated experience with Data Migration both onpremises and in the cloud using Azure Native Data Migration Service and other ETL technologies.
Demonstrated experience delivering multiple data solutions as an architect.
Should be able to design and provide PoVs, architecture for both Lambda and Kappa architectures designs.
Hands on experience Architecting and delivering solutions using the Azure Data Analytics platform including Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse
Demonstrated experience with ETL development both onpremises and in the cloud using SSIS, Data Factory, and related Microsoft and other ETL technologies.
Demonstrated indepth skills with Azure Synapse, SQL Server, HDInsights, Azure Data Lake with the ability to configure and administrate all aspects of SQL Server.
Experience in doing Assessment & Discovery and carry out End to End migration Migrating from OnPremise Infrastructure to AzureCloud.
Experience designing and implementing machine learning solutions as part of high volume data ingestion and transformation pipelines
Azure Certification is a must can be Azure Data Engineer or Architect.
Experience in designing the Azure Data Architecture with like of Data IngestionData IntegrationData PipelineData Orchestration tools & streaming services like Event Hubs, Logic Apps, Data Factory, Data Lakes
Should have extensive knowledge on the Azure Blob Storage lifecycle management.
Need to have working experience on the NoSQLs databases like Cosmos DB, Mongo DB etc.
Should have prior experience with distributed systems and exposure to breadth of Big Data technology such as Hadoop MapReduce, Pig, SQOOP, YARN, Hive, HBase,Python, PySpark
Exposure to Data governance including Data Security, Data quality and MDM etc.
Should have worked on integrations with Power BI, AIML solutions.
Configured and managed various Azure Services including Files, BLOBs, CDN, Azure Monitor, Resource Alerts, Tables, and Automation Schedules etc.
Experience working with Docker container and Kubernetes.
Should have a good knowledge on data security, tokenization, masking etc. techniques.
Experience working on the REST apis, Webhooks, Azure Functions etc.
Experience in understanding the scope and designing the solution with all the best practices
Troubleshoot code level problems quickly and efficiently, for high impact issues in customer environments.
Deep understanding of the operational dependencies of applications, networks, systems, security, and policy both onpremise and in the cloud VMs, Networking, VPN Express Route, Active Directory, Storage Blob, etc., WindowsLinux
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