Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Data, Analytics & AI
Management Level
Senior Associate
Job Description & 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.
Those in data and automation at PwC will focus on automating data internally using automation tools or software to streamline data-related processes within the organisation. Your work will involve automating data collection, data analysis, data visualisation, or any other tasks that involve handling and processing data.
* 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
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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. "
Job Description & Summary: • Design, implement, and maintain CI/CD pipelines using industry-standard tools to automate software deployment processes and reduce time-to-market • Monitor and optimize cloud infrastructure performance, ensuring high availability, scalability, and cost-effectiveness across development, staging, and production environments • Collaborate with development teams to establish and enforce best practices for code integration, testing, and deployment workflows • Manage containerization strategies using Docker and orchestration platforms like Kubernetes to streamline application deployment and scaling • Implement and maintain infrastructure as code (IaC) using tools such as Terraform, Ansible, or CloudFormation to ensure consistent and repeatable deployments • Troubleshoot and resolve complex system issues, performance bottlenecks, and deployment failures to minimize downtime and maintain service reliability • Establish comprehensive monitoring, logging, and alerting systems to proactively identify and address potential issues before they impact production systems • Lead automation initiatives to reduce manual processes and improve operational efficiency while maintaining security and compliance standards
Responsibilities: • Design, implement, and maintain CI/CD pipelines using industry-standard tools to automate software deployment processes and reduce time-to-market • Monitor and optimize cloud infrastructure performance, ensuring high availability, scalability, and cost-effectiveness across development, staging, and production environments • Collaborate with development teams to establish and enforce best practices for code integration, testing, and deployment workflows • Lead automation initiatives to reduce manual processes and improve operational efficiency while maintaining security and compliance standards • Manage containerization strategies using Docker and orchestration platforms like Kubernetes to streamline application deployment and scaling • Implement and maintain infrastructure as code (IaC) using tools such as Terraform, Ansible, or CloudFormation to ensure consistent and repeatable deployments • Troubleshoot and resolve complex system issues, performance bottlenecks, and deployment failures to minimize downtime and maintain service reliability • Establish comprehensive monitoring, logging, and alerting systems to proactively identify and address potential issues before they impact production systems
Mandatory skill sets: • Devops
Preferred skill sets: • Devops
Years of experience required: 2-6 years
Education qualification: B.Tech/MCA/BCA/M.tech
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Adobe Analytics
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Alteryx (Automation Platform), Analytical Thinking, Automation, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation System Efficiency, Business Analysis, Business Performance Management, Business Process Automation (BPA), Business Transformation, C++ Programming Language, Communication, Configuration Management (CM), Continuous Process Improvement, Creativity, Daily Scrum, Data Analytics, Data Architecture Development, Data-Driven Insights, Data Ingestion {+ 34 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 19, 2026
