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You will work with tools/platforms like Kafka, Snowflake, and Databricks to help clients get the most out of their data that may be in systems like Salesforce, SAP, SQL Server, or file storage.
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2-3+ years experience with SQL and Relational database engineering (Oracle, SQL Server, Teradata) 3+ years leveraging and maintaining ETL tooling – such as Glue, Alteryx or any other related ETL (extract, transform, load) tools – and/or.
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Expert in Microsoft ETL data ingestion framework specifically SQL Server, SSIS DevOps. Expert in SQL server development and management tools. Expertise in data pipeline management on any 1 Cloud (Amazon AWS, Microsoft Azure, Google Cloud.
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Python, GitHub, Rally, AWS, Cognos/MicroStrategy, PowerShell, ETL tools (SQL Server Integration Studio (SSIS), Glue or Talend), familiarity with Kanban/Agile practices, test driven development, experience with cloud technologies preferred.
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Software Tools used for Development: Microsoft Office Suite, Visual Studio, Visio, ETL - SQL Server Management Studio (SSMS), SQL Server Reporting Service (SSRS), TFS, Git, Jira & Confluence, Tableau, Mainframe Tools (Endevor/Zeke/DevOps), FTP/SFTP, OAuth, SSO, SOAPUI, Postman, or SOAP & REST API’s.
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Continue the design, development, and documentation of Barr’s enterprise data warehouse, dashboarding, and self-service reporting ecosystem using the Microsoft Business Intelligence toolset (SQL Server, SSIS, SSAS tabular, Power BI, Azure.
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Design and implement solutions to meet business and IT needs, ensuring technical viability of new projects, successful deployments, orchestration of key resources and adoption of key data technologies (e.g. Azure Data Services like Azure SQL DB, Cosmos DB, Azure SQL DW, and SQL Server.
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5+ years SQL Server or PostgreSQL experience including DDL and DML required. A comprehensive skill set in SQL server development methodologies and relational database concepts is required.
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And traditional database systems (i.e., SQL Server, Oracle, MySQL) Experience in implementing data pipelines for both streaming and batch integrations using tools/frameworks like Azure Data Factory, Glue ETL, Lambda, Spark, Spark Streaming, etc.
$103,000 - $154,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience designing and building dimensional data models using best practices for data warehouses for specific client requirements using SQL Server 2016 or higher, Azure SQL Database, and Synapse.
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Experience with SQL server applications and supporting components, including SSIS and SSRS. This position will need to have experience in ETL processes and have knowledge of Azure SQL Database and Managed Instances.
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Proven ability to design and develop ETL processes for Kimball star schema data warehouse and reporting platform (MS SQL Server preferred) Support existing Data Warehouse (MS SQL Server.
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Manage and support SharePoint and SQL Server Reporting Services (SSRS) Bloomberg, code or no-code platforms, ETL tools, SSIS, SSRS, Microsoft T-SQL. Work with the Director of Technology.
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Supporting SQL Server components, including SSIS and SSRS. Support SQL server applications. Performing SQL backups and Disaster Recovery. Experience in Microsoft Azure SQL technologies.
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Expertise in developing ETL packages using SQL Server Integration Services (SSIS) ( Data Extraction, Transformation, and loading from heterogeneous Sources to SQL Server target.
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sql server etl jobs in Minneapolis, MN
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