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Familiarity with simulation and data analysis tools for finite element, thermal, vibration, and stress analysis (Solidworks Simulation, Creo Mechanica, ANSYS) As a Koch company, Molex is a leading supplier of connectors and interconnect components, driving innovation in electronics and supporting industries from automotive to health care and consumer to data communications.
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Handle Google Cloud Storage inorder to use the storage service efficientlyRole as GCP Architect and SME in multiple projectsRepresent in client meetingsRespond to RFPs providing the solution Arch. Min one year Experience in Architecting applications for Google Cloud platformExperience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTableWork with Google Cloud SQL to handle the user data/ client data.
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Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks) Collaborate with the TPG enterprise architects on an architecture defining our new data driven forecasting & planning strategy.
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Extensive hands-on experience with Apache Spark, Kafka streaming for large-scale data processing and analytics. Good experience and understanding of operationalization of large scale data and analytics solutions on Snowflake Cloud Data Warehouse.
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Track and trend quality data for non-conformances, RCI, CAPA and Change Control. The salary range for this position takes into account a wide range of factors including education, experience, knowledge, skills, geography, and abilities of the candidate, in addition to internal equity and alignment with market data.
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The US Scientific Communications team aims to support the development of high-quality medical publications to ensure clear, scientific communications of Sanofi data, enabling safe, appropriate use of and access to Sanofi medicines and to address unmet medical needs.
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Master Data Management: Oversight the establishment and maintenance of core master data sets to be established to support pharmaceutical lifecycle from development to commercialization partnering with related functions to ensure a building in model to support all eQMS systems and evolving Global GMP capabilities and awareness for data management and records retention.
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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.
ExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Work side by side with the Data Science, Precision Medicine, Digital Health and Data, Platforms and Partnerships teams on joint projects to ensure the optimal combination of RWD/E methodologies and analytics along with AI/ML and Digital solutions are being leveraged to deliver on high value use cases / problems.
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Accurately and completely documents all procedures and data in the BCIS, on run sheets and apheresis forms in a timely manner. Under the direction and supervision of a Therapeutic Apheresis RN performs therapeutic apheresis procedures and HPC collections.
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PM: Define and build analytical use cases for data mediation platform in telecom domain. Architect: Developing resolutions to complex problems, using judgment to recommend platform choices, develop methods, techniques for handling billions of record from Data Mediation for analytical processing.
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Desired Skills AWS or Azure Cloud Databricks or Snowflake Data Warehousing and Data Lakes ETL Processing SQL Data Visualization DevOps / CICD / MLOps Agile Processes (Scrum/Kanban.
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The CES Ops portfolio is dynamic in nature; study types include, but are not limited to, less complex data transfer agreements, retrospective sample/data acquisition studies to more complex prospective studies including sample/data acquisition, biomarker/technology/method validation, genotypic/phenotypic call back studies, and challenge/screening studies.
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This position supports Daiichi Sankyo's Risk Based Data Monitoring and Validation strategy. Function as technical resource to the study teams for data visualization and reporting tools.
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Experience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTable. Understanding of Data archival systems, Data management and Data governance concepts with ability to advocate for architecture that supports the governance/management of data.
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