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This individual's primary responsibility is to complete all tasks as directed by the Data Center Manager with minimum supervision and to report any condition affecting building services and tenant comfort or safety.
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Proficient with syndicated data sources (Nielsen, IRI), Symphony RetailAI (EYC), and SPINS. Leverage both shopper and syndicated data (Nielsen, IRI), to analyze category and brand performance, identify trends, and uncover growth opportunities.
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The firm is the No. 1 investment bank for global M&A transactions under $1 billion, the No. 1 M&A advisor for the past eight consecutive years in the U.S., the No. 1 global restructuring advisor for the past nine consecutive years, and the No. 1 global M&A fairness opinion advisor over the past 25 years, all based on number of transactions and according to data provided by Refinitiv.
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Must need :Data Scientist or Databricks Experience. Knowledge of Python programming, data processing, data collection, quantitative and qualitative data analysis and good knowledge of data modeling like Linear Regression, Logistic Regression, Decision Tree, Random Forest, XG BOOST, CAT BOOST, Ada BOOST, SVM, Clustering etc.
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Expert analytical skills and experience with syndicated data, measures and software (e.g. NPD, Nielsen/Nitro, IRI, Consumer Panel, Spectra, ECRM or Market Track, XP3, etc.) Leveraging syndicated data, shopper and consumer insights, and market trends, the Director will lead the development of comprehensive plans to enable greater sell-through, market share gains, and drive overall business growth.
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Lead the development and refinement of a comprehensive GIS data strategy for law enforcement/public safety and security focus, addressing data silos, security/access requirements, data governance/quality, and metadata documentation.
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They must have knowledge and experience with "black box" AI capabilities for traditional tasks such as image and video recognition, speech to text, language translation and chatbots, along with a deep understanding of the intellectual property and data privacy issues inherent in using pre-trained generative AI platforms.
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Data Integration (DI), Quality (DQ), Governance (DG) on cloud and big data architectures working with structured and unstructured data on the Talend Data Fabric stack. Hands on experience to design, develop, validate, and deploy the ETL and DQ processes using Talend data integration and data quality tools.
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6+ years' experience with dashboard/data visualization platforms like Tableau, Dundas, Microsoft PowerBI, and Looker. -Work independently and innovatively on end-to-end solutions, from data analysis to ETL design and development, data modelling, data transformation, and visualization and UI components.
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Demonstrated proficiency and hands-on experience in architecting, implementing, and managing Cloud-native database solutions, e.g., Azure SQL Database, Azure SQL Managed Instance and Oracle Cloud Infrastructure (OCI) Autonomous Data Warehouse, including deployment, configuration, and optimization.
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Implement ETL processes and data warehouse solutions, and ensure compliance with data governance and security policies. Experience with data warehouse and data lake concepts and architectures.
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The Databricks Engineer will serve as a central figure in our data engineering team, delivering highly sophisticated technological solutions using Databricks, Delta Live Tables, Snowflake, and Medallion Architecture.
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CloudHire Solutions enables enterprises in their digital transformation journey by offering Consulting and Implementation Services related to Data Analytics and Enterprise Performance Management (EPM.
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Working experience with Cloud based data Services (i.e., Amazon Athena, Amazon Redshift, AWS Glue, AWS CleanRooms, AWS LakeFormation, Amazon SageMaker, Snowflake, Databricks, etc. 10+ years of progressive working experience in Data Engineering and Data Science roles within the Media & Entertainment industry.
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Guide and mentor development teams on sound design and coding principles and best practices in areas such as UI/UX, integration, APIs and Micro Services, application and data security, DevSecOps, and Cloud environments.
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data entry jobs Title: warehouse Company: General Dynamics Information Technology in Brooklyn, NY
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