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Hands-on experience with Azureservices such as Azure DataFactory, Azure Databricks, AzureData Lake Storage, Azure SQL,Azure SynapseHands-on experience in SQLServer (SSIS, SSRS, SSAS),ORACLE, T-SQLHands-on experience in AzureSQL Database, Azure SQLDatawarehouseHands-on experience in deployingand maintaining large-scale dataprocessing pipelines.
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SQL Server and SQL Toolset (SSAS, SSIS, SSRS), including stored procedure development. Work with Data Warehouse architect to ensure appropriate data is available to support BI needs. SQL Server and SQL Toolset (SSAS, SSIS, SSRS), including stored procedure development.
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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. 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.
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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). Position Description The Sr. ETL Developer contributes to the success by designing and developing complex data-centric solutions, including data warehousing, system integration, ETL & data integration, and BI/semantic models, e.g. SSAS. The incumbent will participate in the full life-cycle of solution implementation, from requirements gathering/review and data modelling through development, testing, implementation and maintenance.
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Experience on SSIS, SSRS and SSAS. Participate in development of databases and SSIS packages to meet requirements of new initiatives. Job Title: Senior SQL Database Administrator.
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Which meet defined requirements using SQL Server Integration Services (SSIS), SQL Server Analysis Services (SSAS), SQL Server Reporting Services (SSRS), Power BI, Python, ADF, T-SQL and other languages and tools.
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Java and other development languages and technologies, familiarity with COBOL would be ideal SQL Server (SSIS, SSMS, SSRS, and SSAS) to support reporting and integration Crystal Reports for additional reporting Microsoft technologies (SQL, Azure, Office 365.
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Support the use and adoption of industry standard BI tools such as SSIS, SSRS, SSAS, SQL Server and stored procedures, Excel, PowerBI and Azure. Review and revise queries, SSIS packages & SSAS cubes, Dashboards, and Big Data solutions for performance issues.
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Experience with Azure DevOps, ADF Experience (Running SSIS from ADF and native ADF pipelines) 3-5 years' experience using the Microsoft Azure Data integration tools including SSIS/IR, ADF and ADO.
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Proficiency with other components of the Microsoft Suite of products and stack such as Excel, Power Automate, Synapse, Azure Data Factory, SSIS, SSRS, SSAS, etc., is preferred. If you have a disability and require a reasonable accommodation to complete the job application process, please contact JM Family’s Talent Acquisition department at talentacquisition@jmfamily.com for assistance.
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2+ years managing and developing in Azure Analysis Services or SSAS. 7+ years managing the operations and building Data Warehouses on an Azure SQL platform including project management, resource assignment, architectural design.
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Provide for support for MS SQL databases utilizing SSRS, SSIS and SSAS servers and applications. Provide for support for MS SQL databases utilizing SSRS, SSIS and SSAS servers and applications.
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Effective communication and collaboration skills to work with both technical and non-technical stakeholders MUST HAVE SKILLS: Microsoft SQL Server Microsoft Business Intelligence(SSIS,SSAS & SSRS) Python GCP Data Services TableauEDUCATION/CERTIFICATIONS.
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Comprehensive understanding of Microsoft Azure Data Platform, covering Azure Synapse, Azure Data Factory, Azure SQL Database, and legacy Microsoft SQL Server technologies such as Database Engine, SSIS, SSRS, and SSAS.
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Custom development utilizing Microsoft SharePoint, BizTalk, SSAS, SSIS, SSRS, MDM, and DQS will be a plus. Experience on SSIS, SSRS reports (Nice to have) Custom development utilizing Microsoft SharePoint, BizTalk, SSAS, SSIS, SSRS, MDM, and DQS will be a plus.
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