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Implement concepts of Big Data(Hadoop) ecosystem such as YARN, HDFS, HBase, Zookeeper, Spark, and Hive Accountable for storage, performance tuning, and volume management of Hadoop clusters.
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Must have skills: RedHat OpenShift Container Platform(Operators,OpenShift Data Foundation,OpenShift Pipelines,Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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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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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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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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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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Work with our software team on integration solutions for the QC process and data management, including MES, QMS, and LIMS. Prepare and present data associated with QC processes to internal and external clients.
$90,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Minimum 4 years of relevant work experience in Pharmaceutical Manufacturing System Processes (GxP) Systems environment and related Master Data Management. Develop and implement robust site Governance around E2E ERP Master Data, including defining and authoring local standardizations, SOPs, and work instructions.
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Look for the patterns and connections in different data sets working with cross-functional partners Leverage the latest collaboration tools and technologies (e.g. DOMO, Google data studio) to drive next level of analytics, data visualization and facilitate information sharing.
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A+ colleagues — our team includes alumni from Goldman Sachs Digital Assets, DeFi protocols (e.g. Maker, Badger, Balancer), big tech (e.g. SpaceX, Microsoft, Salesforce), and traditional finance (Fortress, Bridgewater, Prospect.
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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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For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
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Help us change the future of work for doctors in the United States by applying state of the art technology solutions, including data API development, modern integration patterns, frameworks for building beautiful, responsive applications, machine learning, natural language processing, and explicable AI - in partnership with key partners.
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Perform test and report data as per the Catalent approved procedures. SHIFT - MON-FRI AM-:PM - ONSITE POSITION - DURATION - THREE MONTHS.Perform Finish product Testing (Stability, development), QC release and data review.
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Support data center operations, including capacity planning, disaster recovery (DR) strategies, and high availability configurations. 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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big data jobs Title: developer in Bridgewater, NJ
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