Azure Data Bricks

Job Description :

*4+ years of experience in Databricks is must*
 

• IT professional experience in Azure Cloud over 7 years working as Azure Developer
• Worked on multiple projects as developer using Datafactory from data receiving, validation, transform and then publish
• Worked on Data Factory pipelines and AppLogic after gathering and translating end user requirements
• Ability to recreate existing legacy application logic and functionality into Azure Data Factory/Data Lake, SQL Database and SQL Datawarehouse environment

Good to have:
Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
Experience in implementing hybrid connectivity between Azure and on-premise using
Plan and Develop roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience with Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF), SSIS
Experience in developing roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience in establishing Data Factory development standards and best practices

Skill sets needed:
ETL Tools: Azure Data Factory (ADF), Azure Database Migration service (DMS), ETL SQL server integration services (SSIS), SQL server reporting services (SSRS), ETL extract transformation and load, Business Intelligence (BI), BCP.
Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), DataMigration service (DMS), Azure SQL Data, Elastic Pools, Geo Replication, Geo restore, JSON, ARM template, SQL Data Synch, Azure Cli, Azure SQL Analytics, Azure Network components (virtual network, network security group, User defined Route, Gateway, Load Balancer etc, Virtual machines, Traffic manager, VPN.Job Description :

*4+ years of experience in Databricks is must*
 

• IT professional experience in Azure Cloud over 7 years working as Azure Developer
• Worked on multiple projects as developer using Datafactory from data receiving, validation, transform and then publish
• Worked on Data Factory pipelines and AppLogic after gathering and translating end user requirements
• Ability to recreate existing legacy application logic and functionality into Azure Data Factory/Data Lake, SQL Database and SQL Datawarehouse environment

Good to have:
Experience managing databases, Azure Data Platform services (Azure Data Lake (ADLS), Data factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle, Data Warehouse etc.
Experience in implementing hybrid connectivity between Azure and on-premise using
Plan and Develop roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience with Azure transformation projects and Azure architecture decision making Architect and implement ETL and data movement solutions using Azure Data Factory (ADF), SSIS
Experience in developing roadmaps and deliverables to advance the migration of existing solutions on-premise systems/applications to Azure cloud
Experience in establishing Data Factory development standards and best practices

Skill sets needed:
ETL Tools: Azure Data Factory (ADF), Azure Database Migration service (DMS), ETL SQL server integration services (SSIS), SQL server reporting services (SSRS), ETL extract transformation and load, Business Intelligence (BI), BCP.
Azure Cloud: Azure SQL Database, Azure Data Lake, Azure Data Factory (ADF), Azure SQL Data Warehouse, Azure Service Bus, Azure analysis service (AAS), Azure Blob storage, Azure Search, Azure App service, Redis cache using pipeline and SSIS, infrastructure as a service(IaaS), Database as a service (DBaaS), DataMigration service (DMS), Azure SQL Data, Elastic Pools, Geo Replication, Geo restore, JSON, ARM template, SQL Data Synch, Azure Cli, Azure SQL Analytics, Azure Network components (virtual network, network security group, User defined Route, Gateway, Load Balancer etc, Virtual machines, Traffic manager, VPN.