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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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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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AWS Solution Engineer or AWS Cloud Engineer or Data Cloud Engineer Hybrid, 3 days a week onsite Design, develop and deliver cloud datastore solutions and develop automation pipelines to migrate data sets from On-prem to Cloud platforms.
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In partnership with the research community and other biomedical and clinical informatics specialists, the successful candidate will manage and analyze data being created in molecular and cellular biology, genomics and biomedicine through the use of existing data science and machine learning tools as well as engineer new toolsets that include models, algorithms, and software developed in-house.
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In-depth knowledge of various database management systems (DBMS) such as relational databases (e.g., Oracle, SQL Server, PostgreSQL), NoSQL databases (e.g., MongoDB, Cassandra), and cloud-based data services (e.g., Amazon RDS, Azure SQL Database.
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Colgate-Palmolive invites applications for the Summer/Fall 2024 Data Engineering Internship for the Global Information Technology (GIT) organization. Learning the Data Engineering technology stack and the best practices associated with the components.
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Data Center & Hybrid IT services solutions includes a focus on technologies inclusive of Data Center management, storage, middleware, command center, cognitive technologies, automation, hyper converged infrastructure, SDDC, next gen platform for cloud stacks, cloud migration services, hypervisors, sys admin solutions, active directory, compute platforms.
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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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Additionally, you will serve as a backup for the Metric Insights report surfacing tool, reports developed in PowerBI, and Access Management at MMA. You will collaborate closely with the Data Strategy Manager, product managers, IT, and regional colleagues to ensure that all analytics tools and reports are clearly defined, accompanied by instructional guides, supported by a robust training platform, and have a solid stakeholder engagement communication strategy in place.
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The ideal candidate must possess a strong background in data architecture, cloud computing, and a deep understanding in emerging digital trends in data, analytics, and AI. As a Data and Analytics Director, you will be responsible for developing go-to-market offerings, lead delivery of rapid assessments, and collaborate across RSM for developing our data and digital narrative.
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Prior hands-on Data Analyst or Business Data Analyst or Business Systems Analyst or Business Intelligence analyst experience, including actual assignments understanding process, data, and business system conditions for quote-to-cash (must.
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You will be expected to be able to work independently producing sound Kubernetes based micro services or extending Scala-based big data frameworks Your team :We can offer you an exciting, fast-paced working environment with new technologies, a culture of mutual respect and teamwork and the opportunity to play a vital role in our growth.
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About the Role:The Data & Analytics Team of Everest Group, Ltd. (‘Everest’ or ‘the Group’)is looking for a Principal Data Scientist to join our New Jersey office. This position works closely with the Insurance Data Strategy team, Operational Business Leadership, and IT Services in the development of AI/ML Products and their implementation within business processes.
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Experience with cloud services such as Microsoft Azure and AWS. Knowledge of relevant data privacy regulations (e.g., GDPR, HIPAA) and their impact on data governance practices. Collaborate with Business Intelligence and Analytics, and Data Governance teams to develop and maintain privacy policies, procedures, and documentation and to define and manage metadata standards, taxonomies, and ontologies to facilitate effective data classification, search, and retrieval.
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The Infrastructure Operations organization is looking for Data Center Technicians to take AWS Data Center Operations to the next level. 4+ years of previous Data Center Operations experience (racking & stacking devices, cable management, hot & cold aisle containment knowledge.
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Title: data Company: Match Point Solutions in Edison, NJ
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