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QTS Data Centers is a Blackstone REIT Portfolio companyQTS Data Centers is seeking a DCIM Engineer II / Controls Engineer II (Senior Data Center Infrastructure Management (DCIM) Engineer) to be based at one of our brand new mega data center campuses in the US. Quality Technology Services (QTS) is a leading provider of data center solutions across a diverse footprint spanning more than 9 million square feet of QTS Mega Data Centers throughout North America and Europe.
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Must have technical “Hands-on” experience in implementation of data solutions and related downstream systems like data lake using technologies like Informatica IICS, Databricks Python, ADF, Snowflake and other Azure Databases.
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Collaborate with IT, data governance teams, and business stakeholders to ensure alignment with the companys data strategy and global business requirements. Proven work experience as a Data Architect, Data Scientist, Data Analyst, or similar role.
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Proficiency in metadata and data quality tools like Atlan, Collibra, Informatica, Alation, Atacama, Talend, etc. Lead the customer success and enterprise data stewardship team to drive data governance adoption, working with data stewards across divisions to embed governance practices and enhance data-driven culture.
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Perform architecture review of data analytical solutions using Qlik Sense. Designing data models in Qlik Sense to accommodate the application requirements. Extract, transform and load data from multiple data sources into the Qlik application.
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As part of the Data Privacy Leadership team, you will coordinate with the Global Privacy Officer, the Global Privacy Program Manager and the other Regional Privacy Officers to define priorities and objectives of the Sanofi CHC privacy roadmap.
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Broad understanding of multiple technologies -These include; Blue Yonder suite of products/architectures ERP (SAP) & ERP Datawarehouses (SAP BW) Cloud-based data & analytics frameworks (e.g., Azure, Databricks, Snowflake) Data science & advanced analytical techniques and technologies (e.g., R, Python, Databricks.
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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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Demonstrable experience in tools / platforms such as MES Syncade and Integration technologies enabling data flow with downstream systems (e.g. OSI PI, Data Lakes, Process Monitoring systems such as JMP, Tableau, Power BI.
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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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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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Stay current with technology trends and developments in the industry Big Data Ecosystem like Cloudera( CDP/CDH) and ETL Application monitoring knowledge. Assigned as the SRE expert to the Data Engineering Team. The data team manages all aspects of our data strategy, analysis, engineering, and machine learning.
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Collaborating with relevant functions, the MSO will ensure proactive and timely assessments of safety data to characterize the emerging and known safety profiles and benefit risk of their products within the TA. The MSO will communicate potential and known risks, when appropriate, to TA Safety Head, Chief Safety Officer (CSO), Chief Medical Officer (CMO), Qualified Person for Pharmacovigilance (QPPV), Senior Management, Health Authorities (HA), prescribers and/or patients.
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Data Science Enabled Engineering : Development of data-science (DS) methods and data-driven algorithms with applications to Advanced Manufacturing, Robotics, Artificial Intelligence (AI)- and Machine Learning (ML)-based Engineering Design and Optimization, Integrated Computational Manufacturing and Material Engineering ( ICME.
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The Manager, Consumer Insights and Marketing Intelligence will leverage (leading, informing, or conducting) both qualitative and quantitative research, as well as leveraging syndicated data sources and customer data.
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big data jobs Title: data manager Company: Accenture Contractor Jobs in Raritan, NJ
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