In-manager_devops_data & Analytics_advisory_pan India

Dc404

Cloud platforms (aws, azure, gcp)
Ci/cd pipeline automation
Infrastructure as code (terraform, ansible, cloudformation)
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

Job 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.
  • 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.

Matching 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.

Skills & Requirements

Must-have

  • Cloud platforms (AWS, Azure, GCP)
  • CI/CD pipeline automation
  • Infrastructure as Code (Terraform, Ansible, CloudFormation)
  • Containerization and orchestration (Docker, Kubernetes)
  • Scripting languages (Python, Bash)
  • Monitoring and alerting solutions

Nice-to-have

  • Problem-solving and communication skills
  • Collaboration with development and QA teams
  • Security best practices in deployment
  • Optimization of cloud infrastructure costs
  • Documentation of processes and configurations
  • Values-driven and inclusive work environment

Key Requirements

  • 3 - 10 years experience
  • BE, B.Tech, MCA, M.Tech degrees
  • Master of Engineering, MBA preferred
  • DevOps mandatory skill set

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter