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JOB DUTIES: Sr. Engineer, Business Intelligence for Neiman Marcus Group LLC at its facilities in Dallas, TX. Perform Adhoc data analysis directly on Neiman’s Snowflake data warehouse using advanced SQL and using NMG Business Intelligence tools including Business Objects, Qlik Sense & Tableau.
ExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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The Senior Data Engineer is responsible for designing, building, and maintaining the enterprise data warehouse, ensuring data quality, and supporting data lake and surrounding technology ecosystem, including Master Data Management, Extract Load Transform, Data Security and Data Catalog, (Domain: Financial Services – Banking.
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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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Experience utilizing Data Lake, Data Warehouse and Data Lakehouse platforms. technology partnerships within the data and analytics eco-system. Well versed in technology stacksincluding: Google BigQuery, DataProc, Looker, Looker Studio, Sheets; AWSRedshift, Athena, Quicksight, Sagemaker, Databricks, Snowflake, and Microsoft SQL Server,Azure, and Synapse.
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Strong background in data warehouse concepts and designs; ETL, Star Schema, Multi-Dimensional databases Cloud computing, ideally Azure or (but not limited to); AWS, Redshift, Lambda, Cassandra Familiar with at least one scripting language (PowerShell, JavaScript, Python, Ruby, Perl, Bash) Strong data management and processing skills, including experience with Relational and Non-relational data stores (NoSQL, S3, Hadoop, etc.
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IBM/Truven/Merative, Cotiviti, HDMS, Artemis, Springbuk, similar vendors, or internally developed health analytics data warehouse. Support Aon's national data warehouse team: Work with Aon clients, national Commercial Analytics team members, client team members, and Aon's data warehouse vendor partners to support clients' investments in data warehousing including supporting client implementations, data quality assurance, analytic content creation, ad hoc requests, and user support.
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Experienced in analyzing data and conditions in real time and adjusting as neededAdditional Knowledge & SkillsIndustry experience in pharmacy distribution, automation, logistics, supply chain, warehouse, manufacturing or distribution environment preferredSkilled in interviewing, coaching, evaluation, discipline and record keepingExperience with pharmacy compliance, regulatory, FDA regulations a plusDemonstrated ability to analyze problems, past symptoms to root cause levels.
Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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We sell Dell, HP, Microsoft, Cisco, Lenovo, Apple, VMWare, Adobe, APC, IBM, QLogic, EMC, Pure Storage, Samsung, Intel, Eaton, and all the hottest Green Data Center, Virtualization, Energy Conservation, Cloud, Storage, Security, Wireless, SD Wan, Video, Identification, solar, and battery technologies.
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Must be an expert in implementing data warehouse, data lakes, big data, data streaming and ingestion, data retention and archiving, ETL, etc. of experience in the Data and Analytics domain, performing Data Engineering on Business Intelligence, Digital and Data Warehouse projects.
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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.
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The Data Warehouse Manager isknowledgeable with the tools used across the datacenter as well as to our Cloudvendors. Oversees the design of the data warehouse to include the data processing anddecision support components.
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In addition, the Warehouse Supervisor is responsible for supervising warehouse specialists, order pickers and forklift operators; will support the Receiving Supervisor in managing the daily freight schedule based on customer and inventory needs.
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Provide production support to existing data warehouse application and consumers, acting as the onshore point of contact and providing technical leadership to the offshore team. Ingest data from disparate sources into the data lake and data warehouse.
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Cloud-based data warehouse products, such as Snowflake, Amazon Web Services and/or Microsoft Azure. The Senior Data Engineer designs, develops, and supports the enterprise data warehouse and data integration solutions.
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Identify and resolve technical issues within institutional research data warehouse systems, such as data loading failures, query performance bottlenecks, and data transformation errors.
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data warehouse jobs in Oklahoma City, OK
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