At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
Why PWC
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us .
At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm's growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.
Responsibilities:
Experience: 6+ years of proven experience in Microsoft 365 technologies, including M365 Copilot, Power Platform, SharePoint Online, and Teams.
Technical Expertise: Strong knowledge of M365 tools, PowerShell scripting, Azure AD, Active Directory, and security policies.
Certifications: Microsoft 365 Certified: Enterprise Administrator Expert preferred.
Soft Skills: Excellent communication, problem-solving abilities, and a customer-focused mindset
Key responsibilities include cloud architecture, system administration, automation, security, cost management, and documentation.
Experience with migrating Exchange and SharePoint to cloud solutions is required. Collaborate with, cross-functional teams to design, implement, and maintain cloud infrastructure solutions. Provide technical guidance and support to resolve complex issues related to cloud services, Cyber Security, Networks. Perform regular assessments and audits to ensure the security, reliability, and efficiency of cloud environments. Participate in planning and executing cloud migration projects, including workload assessments, resource provisioning, and data migration strategies. Work as a Technical Consultant for Various Microsoft Technologies and its Security products.
Hosted Exchange and Online Exchange Migration - SharePoint and OneDrive Migration - Teams, Enterprise Roaming Profile and Intune Deployment - Spam Filters and Endpoint Security, EDR, XDR, NDR, MDR
- Work with Pass-through, Federated auth, SSO, Hybrid access, Cloud Sync, Delegation, Self Service. - MFA, Conditional Policies, PIM, Vulnerabilities and risk assessment. - Encryption, Risk Asses, Incidence management, VA, Penetration test, IDS/IPS, compliance.
Mandatory Skill Sets
6+ years of proven experience in Microsoft 365 technologies, including M365 Copilot, Power Platform, SharePoint Online, and Teams.
Preferred Skill Sets
Strong knowledge of M365 tools, PowerShell scripting, Azure AD, Active Directory, and security policies.
Years of Experience Required: 6-10Years
Education Qualification-Bachelor's degree in Computer Science, Engineering, or a related field.
Education
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Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications
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Required Skills
Microsoft Windows 365
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages
(If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
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