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Graduate degree, or working towards completion of a graduate degree, from an accredited college or university with major coursework in Meteorology, Atmospheric Science, Hydrology, Scientific Computing, Civil Engineering, or related field.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Bachelor's degree in Computer Science, Information Technology, Cybersecurity, or related field (relevant certifications such as CISSP, CISM, or CompTIA Security+ are preferred). Hands-on experience with operating systems (Windows, Linux/Unix), Active Directory, and cloud platforms (e.g., AWS, Azure, GCP.
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Bachelor's degree in Computer Science, Computer Information Systems, Data Analysis, or Management Information Systems. Leads agency efforts in planning, deploying, operating and maintaining information technology analytics, data warehouse and reporting software and solutions.
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2 or 4 year degree from an accredited university preferred (Information Technology, Computer Science, or a related field). The information technology analyst will be responsible for assisting with diagnosing and resolving hardware and software issues, providing end-user support, management, maintenance and troubleshooting of a corporate network and Windows servers.
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Circle is a financial technology company at the epicenter of the emerging internet of money, where value can finally travel like other digital data — globally, nearly instantly and less expensively than legacy settlement systems.
$145,000 - $192,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Aerospace Engineering, Automotive Engineering, Biomedical Engineering, Chemical Engineering, Computer Engineering, Engineering, Engineering Mechanics, Engineering Physics, Industrial and Operations Engineering, Industrial Engineering, Materials Science and Engineering, Mechanical Engineering, Production Engineering, Project Engineering & Management, Biomedical Science, Computer and Information Science, Data Processing/Analytics/Science.
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The Information Security Manager must follow the Department of Information Resources (DIR) Project Management Framework, ensuring compliance within Health and Human Services and DSHS Security and Information Technology Standards.
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Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Required QualificationsAssociate’s degree in information technology, Computer Science, Education, or related field. Preferred QualificationsBachelor’s degree in information technology, Computer Science, Education, or related field.
$50,004 - $55,000Part-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications: Privacy focused certifications such as Certified Information Privacy Professional (CIPP- US); Certified Information Privacy Manager (CIPM); Certified Information Privacy Technologist (CIPT); Certified Data Privacy Professional (CDPP.
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Machine learning libraries: TensorFlow, PyTorch, Scikit-learn , Deploying and optimizing different pipelines that support various data science processes. · Establish and set up model life cycle management with tools like MLFlow , etc · Developing and deploying Spark/Databricks jobs with enterprise tool stack including Jenkins, GitHub Actions · Deployment utilizing containerization solutions like Docker and Kubernetes · Experience with AWS cloud services and running Apache Spark applications.
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Experience with the following technologies and concepts:Containerized Cloud Infrastructure (Docker/Kubernetes, Helm)Microsoft Azure (AKS, Storage Accounts, Monitoring, etc)Asynchronous task queues (Python Prefect)Data Analysis libraries (pandas, numpy, xarray)Experience with optimizing large dataset manipulation using python technologies (Polars, Dask, etc) encouragedGIS knowledge and experience (GeoJSON, PostGIS.
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big data information technology science cloud computing jobs in Texas, TX
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