Project Manager with AWS :: Issaquah, WA(Onsite) Top 35 quick apply

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The job responsibilities of an Office 365 Administrator typically include a range of tasks related to the management, maintenance, and optimization of an organization’s Office 365 environment. Here is a list of common responsibilities:

  1. User Management:
    • Create, modify, and delete user accounts.
    • Assign licenses and permissions based on roles and responsibilities.
    • Manage user access to various Office 365 services.
  2. Email Administration:
    • Configure and manage Exchange Online, including mailboxes and distribution groups.
    • Monitor and troubleshoot email delivery issues.
    • Implement and manage email security features.
  3. SharePoint Administration:
    • Configure and manage SharePoint Online sites and document libraries.
    • Set up permissions and access controls for SharePoint resources.
    • Monitor and optimize SharePoint performance.
  4. OneDrive for Business:
    • Manage OneDrive accounts and access permissions.
    • Ensure data security and compliance for OneDrive files.
  5. Skype for Business (now Microsoft Teams):
    • Administer Microsoft Teams for collaboration and communication.
    • Manage user access and permissions within Teams.
  6. Security and Compliance:
    • Implement and manage security policies for Office 365.
    • Monitor and respond to security alerts and incidents.
    • Ensure compliance with industry regulations and organizational policies.
  7. Azure Active Directory (AAD) Management:
    • Administer Azure AD, including user attributes and federation.
    • Implement and manage multi-factor authentication.
  8. Power Platform Administration:
    • Administer Power BI, Power Automate, and Power Apps.
    • Monitor and optimize the performance of Power Platform applications.
  9. Office 365 Updates and Patching:
    • Manage updates and patches for Office 365 services.
    • Ensure that the environment is up-to-date with the latest features and security updates.
  10. Troubleshooting and Support:
    • Respond to user issues and provide technical support.
    • Collaborate with other IT teams to resolve complex problems.
  11. Documentation and Reporting:
    • Maintain documentation for configurations and procedures.
    • Generate reports on usage, performance, and security metrics.
  12. Training and Communication:
    • Conduct training sessions for users on Office 365 features and best practices.
    • Communicate changes and updates to users and stakeholders.
  13. Backup and Recovery:
    • Implement and manage backup and recovery processes for critical data.
    • Test and validate data recovery procedures.

These responsibilities may vary based on the organization’s size, specific needs, and the extent to which Office 365 services are utilized. Additionally, as technology evolves, Office 365 administrators may be involved in adopting and implementing new features and services within the Microsoft 365 ecosystem.

Remember that specific responsibilities may vary depending on the organization, the type of telephony systems in use, and the complexity of the communication infrastructure.

A Data Engineer is a professional responsible for designing, developing, and managing an organization’s data architecture, infrastructure, tools, and processes. The role involves working with large volumes of data to ensure its availability, reliability, and accessibility for analytical purposes. Here are common job responsibilities of a Data Engineer:

  1. Data Security:
    • Implement and maintain data security measures.
    • Ensure compliance with data privacy regulations.
  2. Data Pipelines:
    • Build and manage data pipelines for efficient data movement.
    • Automate data processes to improve efficiency.
  3. Real-time Data Processing:
    • Develop solutions for real-time data processing and analysis.
    • Implement streaming data architectures.
  4. Collaboration with Data Scientists:
    • Collaborate with data scientists to provide them with clean, well-organized data for analysis.
    • Implement models and algorithms developed by data scientists into production systems.
  5. Performance Monitoring and Optimization:
    • Monitor system performance and implement optimizations.
    • Identify and address bottlenecks in data processing.
  6. Documentation:
    • Document data engineering processes, workflows, and configurations.
    • Maintain documentation for data infrastructure and architecture.
  7. Collaboration with Cross-functional Teams:
    • Work closely with data analysts, business intelligence teams, and other stakeholders to understand data requirements.
    • Collaborate with IT and software development teams for integration and system enhancements.
  8. Scalability Planning:
    • Plan for the scalability of data infrastructure to accommodate future growth.
    • Evaluate and implement technologies that support scalability.
  9. Training and Knowledge Transfer:
    • Provide training to other team members or stakeholders on data engineering tools and processes.
    • Stay updated on industry trends and emerging technologies.

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