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Relevant certifications, such as CISM (Certified Information Security Manager), CRISC (Certified in Risk and Information Systems Control), or PCI QSA (Qualified Security Assessor), are highly desirable.
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Qualifications: Bachelor’s or Master’s degree in Analytics/ Data science (or) any Math/Statistics/Quant background, or Bachelor’s degree in Information Technology or Computer Science with proven experience in data engineering/ business intelligence tools especially strong understanding of database concepts and data modeling.
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Provides gas measurement data using the measurement data acquisition infrastructure and processes in accordance department goals to improve workflow and deliver timely, accurate, volume data to downstream accounting systems with minimal prior-period corrections.
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Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs. Technical Oversight:Provide technical guidance on model training and validation using various machine learning techniques on structured/unstructured data, including imagery, text, and graphs.
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Maintain and stay current with Voice/Data Cabling Systems knowledge periodically throughout the year. Paladin Technologies is a premier North American complex systems integrator for building technology solutions, including IP security, alarms & monitoring, audio visual, low-voltage infrastructure, and networking.
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The ERP Integration Specialist will be responsible for creating integrations between ERP systems and other enterprise applications, ensuring secure data exchanges between on-premises and cloud-based systems.
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All you'll need for successMinimum Qualifications- Education & Prior Job ExperienceDemonstrates the highest level of ethics and integrityBachelor’s Degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training; Master’s degree in Cybersecurity, Information Assurance, or related field preferred.
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Hands-on experience in cloud technologies (AWS, Google Cloud, Azure) related to data ingestion tools (both real-time and batch-based), CI/CD processes, cloud architecture understanding, and big data implementation.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. We want Data Science/Machine learning/Data Analyst and Java Full stack candidates.
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Key Responsibilities and Essential Job Functions:Continuous improvement of data loss prevention controls and strategies designed to protect confidential information in compliance with our legal, regulatory and client contractual obligations.
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Salary: Data Entry Work from Home - Part Time Computer Job Based on experience, this position pays up to $34.00 per hour. But none of these work unless we have participants who are willing to answer questions, join focus group zoom meetings or even test products hands-on and provide feedback.
$26 an hourPart-timeWork from homeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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We are looking for adjunct faculty who can teach Graduate and Undergraduate courses in Information Systems and Technology (General IT, Software Development/Programming/Software Engineering Management, Data Management/Cloud Administration/Database, IT Project Management/Information Systems Management, Networking/Network Administration/Enterprise Network Management, Cybersecurity/Information Assurance/IT Security/Computer Security or Forensic Management.
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Qualifications + years of experience in full-stack web development with hands-on expertise in React JS or Angular JS, and Deep knowledge of Azure services, including Azure Functions, App Service, SQL Server, and NoSQL databases.
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Extensive experience (7+ years) in information security and/or IT risk management with a focus on security, performance, and reliability. And Information Security works at the core of the IT services and infrastructure the University relies upon to successfully deliver on this mission, creating safe online-first solutions to facilitate our exceptional learning experiences.
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Work with the Database Engineer and Developer to carry out the development of the data warehouse based on the requirements using PostgreSQL, SQL Server Integration Services, SQL Server Management Studio, Snowflake, Python, PySpark, Azure Data Factory and Azure Data Bricks.
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