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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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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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You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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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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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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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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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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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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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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Knowledge of integration requirements, security protocols, data privacy, and regulatory compliance about enterprise architecture, D365, and Microsoft Power Platform. Facilitate data stewardship between Microsoft Dynamics 365 and other systems.
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Large-scale data mining and reporting tools (e.g., SQL, MS Access, Essbase, Cognos) and other financial systems (e.g., Oracle, SAP, Lawson, Microsoft Navision, JD Edwards). Possess advanced proficiency in Microsoft Office and data visualization tools.
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big data jobs Title: developer in Raritan, NJ
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