Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism SAP
Management Level Senior Associate
& Summary 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 .
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. "
& Summary: We are seeking a skilled and experienced Azure DevOps Expert to join our dynamic team. As an Azure DevOps Expert, you will be responsible for designing, implementing, and maintaining our DevOps infrastructure and processes on the Microsoft Azure platform. You will play a crucial role in optimizing our software development lifecycle, ensuring efficient collaboration, and delivering high-quality products to our customers.
Responsibilities: o Design and implement Azure DevOps strategies and solutions aligned with company goals. o Configure and manage Azure DevOps services including Azure Pipelines, Azure Repos, Azure Boards, and Azure Artifacts. o Develop and maintain CI/CD pipelines for building, testing, and deploying applications on Azure. o Automate infrastructure provisioning, configuration management, and application deployments using Azure DevOps tools and scripting languages. o Define and enforce code quality standards, best practices, and security measures within the DevOps environment. o Monitor and analyze DevOps performance metrics to identify areas for improvement and optimization. o Collaborate with development teams to integrate DevOps practices and tools into their workflows. o Stay up-to-date on the latest Azure DevOps features, best practices, and industry trends. o Provide technical guidance and mentorship to team members on Azure DevOps concepts and practices.
Mandatory skill sets: CI/CD pipeline setup and management using Azure DevOps, Infrastructure as Code (IaC) using ARM templates, Terraform, or Bicep.
Preferred skill sets: Azure Monitor, Application Insights, Log Analytics
Years of experience required: 6-10 years
Education qualification: Bachelor's degree in Computer Science, Engineering, or a related field.
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Microsoft Azure
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