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Required – Intermediate) - Warehouse Design Tools ie; CAD, slotting, MOST, simulation, WMS, Labor Mgt. Data Visualization Software (e.g., Tableau, Power BI) a plus. (Required – Advanced) - Knowledge of Warehouse Management operations, data analytics, Industrial Engineering, warehouse types (ambient, temp control) and Lean methods.
RemoteExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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We sell the latest AI technologies from Nvidia, Supermicro, Dell, HP, Microsoft, Google, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, Nutanix, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest AI and Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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As a Senior QA Automation Engineer, you will perform Quality Assurance and Automation testing for data warehouse implementations, ensuring data accuracy, completeness, and adherence to quality standards.
Starting at $92,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Extract and organize data from disparate sources, including but not limited to prospect lists, internal data warehouse environments, and site traffic databases, into a usable form for consumption and analysis.
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Experience with Business Intelligence solution development and PowerBI, including DAX and data modeling, data mart and data warehouse architecture. Deep understanding of dimensional data modeling concepts as well as data warehouse design and lifecycle management principles.
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Technology Utilization: Leverage technology solutions, such as Warehouse Management Systems (WMS) and order management platforms, to enhance visibility, data accuracy, and reporting within the fulfillment process.
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Hands-on experience with Snowflake and proficiency in utilizing cloud warehouse tools. Extensive experience with cloud warehouse platforms, particularly Snowflake. Demonstrated ability to architect and develop cloud-scalable data solutions using AWS, EMR, S3, Hive, and Spark.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Hand-on experience with mix of OBIEE/Oracle Analytics Cloud/Oracle Analytics Server, Data Warehouse, SQL, Oracle AI/ML, Oracle Data Science and Oracle Data Integrator including design, implementation and migrations (ideally with Oracle ADW.
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Hands-on experience solutioning and implementing analytical capabilities using the Azure Data Analytics platform including, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse/Synapse, Azure Data Lake.
RemoteExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Enterprise Architect / Data warehouse Architect. This data layer should be designed (Model-storming and using our standard tools such as WhereScape) to be compatible with any data visualization tool, any analytic tool, and have the flexibility to change and adapt to new data sources.
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The Director, IT Data Architecture and Strategy leads the design, development and implementation of business intelligence, analytics, data warehouse, and master data management solutions and strategies.
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Demonstrated ability to use office automation/communication software and tools currently being used in the Herman Miller office environment including a thorough understanding of financial software, Herman Miller information systems, data warehouse and ability to use Business Intelligence tools.
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Working experience with the cloud-based data warehouse like (Greenplum, RedShift, Azure SQL Data Warehouse, etc.) Expert level working knowledge of Data Lake technologies, data storage formats (Parquet, ORC, Avro) and query engines (Athena, Presto, Dremio) and associated concepts for building optimized solutions at scale.
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Build reports in internal reporting software and performing accurate and complete data extraction from our data warehouse to support demands of pharmacy reporting, analysis and projections.
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Work closely with the DevOps team to maintain, operate, and evolve a highly performant, large-scale data warehouse. You will develop the data and telemetry pipeline and backing cluster that collects and ingests terabytes of data per hour into a multi-petabyte data warehouse that powers our observability systems.
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data warehouse jobs in Salem, OR
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