IN_Associate_– Data Engineer _GCC_Advisory_Hyderabad

AI in this role

Design and manage cloud infrastructure and data pipelines using Azure and Kubernetes. Note: Despite the mention of AI in the department name, the actual role is a cloud/DevOps data engineer.

azurekubernetesekscloudformationpythonsql

data-engineeringdevopscloud-infrastructurecontainer-orchestration

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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:  

We are seeking an experienced Azure DevOps Engineer to join our dynamic team immediately. The ideal candidate will have strong expertise in infrastructure deployment, container orchestration, and networking within Azure environments, with a focus on EKS and Kubernetes. This role requires hands-on experience with CloudFormation and deep knowledge of Azure networking concepts.

Key Responsibilities:

Design, implement, and manage scalable and secure infrastructure using Azure CloudFormation.

Deploy and manage containerized applications using Amazon EKS and Kubernetes.

Configure and troubleshoot azure networking components including VPC, subnets, security groups, load balancers, and route tables.

Collaborate with development and operations teams to automate deployment pipelines and infrastructure provisioning.

Monitor, troubleshoot, and optimize cloud infrastructure and Kubernetes clusters.

Ensure security best practices and compliance in cloud infrastructure and deployments.

Maintain and improve CI/CD processes integrating with Azure and Kubernetes environments.

Mandatory skill sets:  

Strong expertise in Amazon EKS and Kubernetes management and troubleshooting.

Hands-on experience with Azure CloudFormation for infrastructure as code (IaC).

Strong networking knowledge including VPC, subnets, routing, and security groups within Azure.

Experience in infrastructure deployment and automation.

certifications related to DevOps, Kubernetes, or networking preferred.

Preferred skill sets:   Aws, EKS, Cloud formation

Years of experience required:   8+ years

Education qualification:   Full time B. E

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

Azure Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining {+ 41 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

October 16, 2026

How we rate this

IN_Associate_– Data Engineer _GCC_Advisory_Hyderabad at PwC rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Data EngineeringDevopsCloud InfrastructureContainer OrchestrationAzureKubernetesEksCloudformation

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where cloud infrastructure was part of your work. What did you do?
Tell me about a project where container orchestration was part of your work. What did you do?
Walk me through how you've used Azure in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Devops, Cloud Infrastructure, Container Orchestration, and Azure. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.

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