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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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The Digital Quality Lead will provide key quality expertise to establish pragmatic compliance controls supporting selection of data platforms, establishment of global data architecture, implementation of data governance tools at scale, enabling data science capabilities, and responsible design/development/deployment and use of AI enabled solutions.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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Job Summary: The Power BI Developer will be responsible for designing, developing, and maintaining interactive and visually compelling dashboards and reports using Microsoft Power BI. This role involves collaborating with stakeholders to understand business requirements, translating them into technical specifications, and delivering high-quality BI solutions that drive data-driven decision-making.
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Technology Ecosystem: Front-End: Power BI and SSASBack End: SQL Server and SSISArchitect: DataWarehouse and LakehouseCloud: Databricks with Azure Responsibilities Participate in ad hoc request where SQL queries needs to be written to pull data and ensure data is accurate.
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Solid knowledge of immunology and cell biology techniques and data analysis. Conduct data analysis and reporting with an emphasis on fast and high-quality data turnaround. Any data processed in connection with role applications will be treated in accordance with applicable data privacy policies and regulations.
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A member of the Global Drug Safety & Pharmacovigilance team, focused on safety operations including but not limited to the collection and processing of safety information from various sources, quality control of safety data entry, regulatory submission of individual cases safety reports (ICSRs), and case exchange with business partner.
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5 years of experience in Big Data Technologies. Summary: Sr. Data Engineer to drive the execution of our Global Data Strategy. Drive and accelerate data and analytics transformation and cloud adoption while being a champion of security, standards, governance, and best practices with a focus on data quality and integrity.
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Possesses knowledge to efficiently utilize all field equipment within company inventory (Trimble/Leica/Spectre robotic total stations, data collectors, auto-levels, GPS RTK Units, wireless communications, 3D Laser Scanners, etc.
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PURPOSE OF POSITION Under the general supervision of the Assistant/Project Manager, the Crew Chief manages the field procedures and data collection to complete the required projects. Ability to function without the data collector and other state-of-the-art equipment in times of battery or equipment failure.
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This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative.
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Job description Senior Consultant - IT Infrastructure (Cloud, Data Centers, Networks) - Infosys ConsultingInfosys Consulting's Tech Transformation Advisory Practice is seeking a Senior Consultant specializing in IT Infrastructure.
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Effectively support other ITSM processes such as Incident, Change and Asset Mgmt. to consistently align to CMDB process and data requirements. Build CMDB data integrations and automated orchestration workflows.
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Experience and solid knowledge of Pharmacovigilance specificallyProficiency in one or more of these additional areas is a plus: CMC/Mfg., Clinical development and trial execution, Regulatory, Real-World Data and Real-World Evidence, Cell and Gene Therapy, Medical Device, IVD/CDxExperienced in understanding and interpreting regulatory guidelines and documents.
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Skills and Requirements In-depth understanding for Statistical analysis and computing, Machine Learning, Deep Learning, Processing large data sets as well as Data Visualization, Data Wrangling, Mathematics and Programming.
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big data jobs Title: senior Company: Verizon in Bridgewater, NJ
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