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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Solid understanding of data security and privacy principles and experience implementing data governance practices. 3+ years of experience as a Data Engineer or in a similar role, with a strong background in data management, ETL processes, and database technologies.
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Optics and Spectroscopy Engineer, Physicist, or Scientist. Experience with processing quantitative data sets, including familiarity with analytical software tools (Matlab, R, Python, C#, LabVIEW, etc.
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High-dimensional data, including complex correlated structures, novel omic data platforms, real-world applications, statistical methods in AI/ML, and basic science knowledge. The Department of BMI and CFB have one of the most comprehensive academic programs in the nation, including clinical informatics, AI in digital health, implementation science, bioinformatics, and biostatistics.
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Experience in Cloud and Big Data platforms such as AWS, Snowflake, Hadoop, Hive, Pig, Apache Spark, etc. Job Summary:As a Vice President, Client, Finance & Strategy Data Scientist Lead in our Data & Analytics team, you will be an team member contributor working closely with Finance, Strategy and Leadership Team. You will address key strategic issues requiring advanced analytics and a big data-promote approach.
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The Senior Network Security Engineer, Network Site Reliability Engineering (SRE) is the subject matter expert in designing and implementing the Network security strategy and platforms for the next-gen operations for all Marriott International (MI) networks including the Property Networks, Datacenter/Cloud Networks, and Corporate Networks.
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BS degree in Geology, Hydrogeology, Environmental Science, or Environmental Engineering. Data collection, management, and interpretation. Production of Figures, maps, and graphical summaries of data trends.
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Qualifications: Experience: Master’s degree in analytics or computer science with 4+ years of experience developing and deploying machine learning models is required Experience with Big Data environments (very large 1st party data integrating multiple internal and external disjointed data) Experience in model metrics monitoring, orchestrating ML workflows using pipelines, version control, model drift management.
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Under the direction of the Director of Inpatient Coding and Compliance, the Senior Coding Education and Data Consultant assists in determining controls and monitors risk areas or changes to review risk management and ensure compliance with documentation and coding regulations.
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You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) ASQ - American Society for Quality - Software Quality Engineer.
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Our College of Nursing offers a Bachelor of Science in Nursing (BSN) degree program at 23 locations and online post-licensure degree programs and certificates including RN to BSN, RN to MSN, a Master of Science in Nursing (MSN) with six Specialty Tracks, and a Doctor of Nursing Practice (DNP.
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Knowledge of Autodesk products (or comparable products) is essential: Revit, AutoCAD, Fabrication (CADmep), Navisworks, AutoDesk Construction Cloud. If you’re ready for the next big step in your career and want a career full of fun and excitement and to be a part of a fast-paced growing company, then.
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As a Senior Data Engineer, you will be responsible for leading the development and implementation of data integration solutions for analytics. Expertise in Microsoft technologies including Azure Data Factory, SQL Server, Azure Databricks and Power BI.
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Good experience with cloud platforms, such as AWS, Azure, or Google Cloud. Knowledge of data governance and security best practices. At least 8 years’ experience as a Data Engineer or similar role.
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