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Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL,Azure SQL Database, Azure SQL Datawarehous e Hands-on experience in deploying and maintaining large-scale data processingpipelines.
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Technical Qualifications: Programming Experience using Visual Studio VB.Net, C#, ASP.Net, Oracle PL\SQL, JSON, REST APIs and Crystal ReportsSQL Server Integration Services (SSIS) and SQL Server Reporting Services (SSRS) experience a plus.
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NET, D365, CRM SDK, CRM Plugins, PowerApps & Power Automate Flow; database platforms including SQL Server; development tools such as Visual Studio, XrmToolBox, Dynamics 365 CE WebAPI. Customize and optimize CRM SQL Server database applications in support of business functions.
$112,200 - $199,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Working experience with data integration between Microsoft Dynamics Power Platform and external systems and non-native tools like SSIS, ETC, Scribe, etc. As a member of this team your role will be a Microsoft Dynamics Customer Engagement (CRMC) engineer working in a Scrum environment.
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NET/SQL Server, SSIS/SSRS, MS Dynamics, Power BI), Tableau, Databricks, and Snowflake. NET/SQL Server, SSIS/SSRS, MS Dynamics, Power BI), Tableau, Databricks, and Snowflake. 5+ years of experience cloud analytics (GCP, AWS or Azure), databricks.
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Minimum of five years of experience with the Microsoft SQL server stack, Microsoft SQL, SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), and Microsoft SQL Server Reporting Services SSRS.
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Day to day:Working with SQL Stack e.g. SQL Server 2016 or higher, SSAS, SSIS, SSRS, MDM, Power BI.Use of data model concepts, master data management, operational process, SDLC, project management, data profiling, data cleansing/de-duplication processes.
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Collect and organize various energy data sources, develop analysis into processes and code using various tools such as Excel, VBA, MS Access, SQL, and SQL Server Integration Services (SSIS), and improve existing processes.
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Strong proficiency in R, Python, SAS, Visual Studio SSIS and MS SQL Server. Build and run data queries from multiple systems and prepare data to be used as input for quantitative models and report generation using Visual Studio SSIS and MS SQL Server.
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SQL Server and SQL Toolset (SSAS, SSIS, SSRS), including stored procedure development. Utilize multiple data sources such as DB2, MS SQL server, Complex flat and XML files.
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Minimum 3 years of experience with databases, data modeling and data warehouses such as Microsoft SQL Server, SSIS, SSRS, SSAS, Power BI, and related tool. Data modeling and extraction tools: Use of Microsoft Excel and SQL, ETL tools and API service integration.
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5+ years experience with the Microsoft SQL Server stack; i.e., SQL Database Engine, Integration Services (SSIS), Analysis Services (SSAS), Reporting Services (SSRS). Stay current with industry best practices and technologies related to data, reporting, and Business Intelligence (BI), including cloud-based technologies, e.g. SQL Server stack in Azure.
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Develop ADF, SSIS packages to migrate data from salesforce to SQL Server or from one SQL server environment to another for testing and development. Strong problem solving, T-SQL, SSIS packages, ADF and debugging skills.
$90,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Expert level skills with Microsoft SQL Server database and BI technologies and data modeling/architecture are required. Advanced experience with the T-SQL scripting/programming language, including the ability to develop, test, and debug complex ad-hoc queries, stored procedures, and data migration scripts.
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Ampia conoscenza di Data Modeling, SQL, OLAP ed ETL, inclusa un'esperienza pratica con almeno uno strumento ETL, come SSIS o Informatica; competenze ed esperienza nel lavorare con più piattaforme di database come SQL Server e MySQL, Oracle.
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