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Advanced experience in SQL in big data warehouse systems such as Snowflake, BigQuery, Databricks, etc. Internal knowledge of open source or related big data technologies.
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Must have four (4) years of experience with: Cloud data engineering experience in at least one cloud (Azure, AWS, GCP); Integration of multi-cloud services with on-premises technologies; Version control systems like Github and deployment of CI tools; At least one MPP database technology such as Redshift or Synapse or SnowFlake.
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Bachelor's degree in quantitative field (statistics, software engineering, business analytics, information systems, aviation management or related degree) This role requires expertise in Client's data sources and technology business intuition, and a working knowledge of data transformation and analytical tools.
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Additional knowledge and experience with adjacent capabilities in the areas of Enterprise IT; Cyber Operations, ITSM and Managed Services; Data Center, Cloud and Cloud Migration; Data Transport and Systems Integration; Application Development and Modernization; Big Data and Data Analytics is a plus.
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Ensures Information Technology, Project Management, and Data Governance strategic and operational planning is in place to achieve business goals by fostering innovation, prioritizing key initiatives, and ensuring the successful evaluation, deployment, and management of current and future systems across the organization.
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Your responsibilities include driving modernization and transformation of our enterprise systems, collaborating with key business and technology stakeholders, and overseeing all technical aspects of the project.
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Expertise in Databricks, Apache Spark, and big data technologies. Architect and implement big data processing solutions leveraging Apache Spark for ETL, data transformation, and machine learning workflows.
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The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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In this role, the successful candidate will drive our efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS.
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Job Title: Clinical Data Analyst / Digital Health Technology / Pharma Industry. We are looking for a self-directed professional to support Digital Health Technology [DHT] (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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Graduate degree in Management Information Systems, Business Administration and Management, Business Analytics and Information Systems, Statistics, Mathematics, Computer Science, Physics, Economics or a similar degree.
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Our work depends on an Information Technology Support Specialist joining our team to provide technical support and troubleshooting services for incoming queries and issues related to computer systems, software, and hardware.
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Reporting to the Vice President of Finance & Administration, the Chief Information Officer (CIO) is responsible for providing leadership, integrative management, vision, and strategic planning for the University's information technology department, including but not limited to Operations, Information Security, Enterprise Applications, Infrastructure (Systems Administration, Web Development, Networking and Telephone Systems), and Technology Support Services.
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Contract Duration: 5 Months Required Skills & Experience Bachelor's Degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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Collaborate with key stakeholders across the organization, including clinical operations, regulatory affairs, data management, and IT, to assess user needs, gather requirements, and develop tailored solutions to address business challenges.
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big data information technology business services systems jobs Title: data analyst
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