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Any one data warehouse or data lake platform (e.g., Snowflake , Teradata, Hadoop). Job Segment: Data Warehouse, Database, SQL, Computer Science, Developer, Technology.
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This role will provide expertise to support the development of a Big Data / Data Lake system architecture that supports enterprise data operations for the District of Columbia government, including the Internet of Things (IoT) / Smart City projects, enterprise data warehouse, the open data portal, and data science applications.
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We have openings for receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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Senior Data Scientist, Localization & Machine Translation. We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Leading with our core values, we help companies across every industry blaze new trails and connect with customers in a whole new way.
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You have at least 3+ years of work experience as a data scientist in an analytics role. We are looking for a Product Data Scientist to drive understanding of how our business and its products are scaling and performing.
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We have openings for receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, packer, picker packer, material handler, packaging, file clerk, warehouse packer, assembly, warehouse associate, production technicians, pickers, packers, forklift, machine operators, maintenance technician, and maintenance mechanics.
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Exposure to big data platforms - Snowflake, Redshift, Azure, Matillion, Hadoop. You have a strong background in data quality management and are experienced with SaaS and/or digital sales metrics.
$262,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - 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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Skills Designed data warehouse and data lake solutions along with data processing pipelines using PySpark in Databricks. Architect the Unity Catalog to provide centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces.
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Knowledge and exposures to Azure SQL Data Warehouse, Databricks or other cloud or on premises MPP data warehousing systems (SAP HANA, Teradata, Snowflake). The experience should be with requirements gathering, SQL, Data Integration tools such as Informatica PowerCenter, Microsoft SSIS, Azure ADF and Data Warehousing techniques.
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As a Data Engineer, you should possess expertise in creating large-scale data engineering pipelines, end to end ETL load processes, designing and architecting ETL load processes, understanding admin, scheduling and infrastructure technologies supporting data warehouse platform, modern data-centric coding languages, development frameworks, and ETL load processes.
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Our openings include receptionist, data entry, customer service, collections, office managers, call center, administrative assistant, accounts payable clerk, accounts receivable clerk, file clerk, warehouse, assembly, production, pickers, packers, forklift, machine operators, and maintenance mechanics.
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But what else do we offer to that makes being a UPS Warehouse Worker such a great opportunity? Who exactly are UPS Warehouse Workers? Also known as Package Handlers, many of our Warehouse Workers load/unload packages in and out of UPS trailers or our signature brown trucks.
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Working with Data Scientist deploying machine learning into scalable services in a perfect fit with the data architecture (MLFlow). Design and develop warehouse solutions using Azure Synapse Analytics, ADLS, ADF, Databricks, Power BI, Azure Analysis Services.
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1Manage and optimize AWS cloud infrastructure and Snowflake data warehouse environments. Client is seeking a skilled AWS Cloud and Snowflake Administrator with additional expertise in MLOps and automation The ideal candidate will have a strong background in cloud infrastructure data warehousing machine learning operations and automation practices.
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data warehouse jobs Title: data scientist Company: Humana
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