Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
Senior AssociateJob 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
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.
Job Description & Summary: A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.
Job Position
Responsibilities
Experience – 5 to 10 Years Job Summary: Design, implement, and manage enterprise-grade Azure cloud infrastructure with expertise in networking, resource provisioning, IAM, and CI/CD automation. Core Responsibilities Infrastructure & Networking · Design and deploy scalable Azure infrastructure (VMs, AKS, App Services, Storage) · Configure VNets, subnets, NSGs, Load Balancers, Application Gateway, VPN/ExpressRoute · Implement hub-spoke topology, Private Link, Azure Firewall, and DDoS protection · Manage hybrid connectivity and network security policies Resource Provisioning · Provision and manage compute, storage, and database resources (Azure SQL, Cosmos DB, PostgreSQL, Kafka Cluster, App Service) · Deploy AKS clusters and container services (ACR, Container Instances) · Implement resource tagging, cost optimization, and capacity planning Identity & Access Management · Configure Azure AD/Entra ID integration and RBAC policies · Manage Managed Identities, Service Principals, and custom roles · Implement Azure Key Vault for secrets and certificate management · Set up Conditional Access and Privileged Identity Management (PIM) DevOps & CI/CD · Build and maintain CI/CD pipelines using Azure DevOps and GitHub Actions · Write YAML-based pipeline definitions with automated testing · Implement blue-green and canary deployment strategies · Manage Azure Artifacts and service connections Infrastructure as Code · Develop Terraform scripts and ARM templates · Implement Azure Policy for governance and compliance · Version control IaC using Git with modular patterns · Automate deployments through pipelines Monitoring & Automation · Configure Azure Monitor, Log Analytics, and Application Insights · Create alerts, dashboards, and KQL queries · Develop PowerShell, Azure CLI, and Python automation scripts · Implement Azure Backup and Site Recovery for DR
Mandatory skill
sets: · Azure infra & networking (VMs, AKS, VNets, NSGs, Load Balancers, Firewall, hybrid connectivity) · Resource provisioning (SQL, Cosmos DB, PostgreSQL, Kafka, App Services, AKS, ACR)
· Identity & Access (Azure AD/Entra ID, RBAC, Managed Identities, Key Vault, PIM) · DevOps & CI/CD (Azure DevOps, GitHub Actions, YAML pipelines, blue-green/canary deployments) · Infrastructure as Code (Terraform, ARM templates, Azure Policy, Git) · Monitoring & Automation (Azure Monitor, Log Analytics, KQL, PowerShell, CLI, Python, Backup/DR)
Preferred skill
sets: · Multi-cloud/hybrid exposure · Advanced cost optimization & FinOps · Zero Trust security & compliance frameworks · Observability tools (Prometheus, Grafana) · Strong Python automation · Data streaming/analytics infra (Kafka, Event Hub, Synapse) · Geo-redundant DR & advanced architecture design
Years of
experience
required: 5 to 10 years relevant experience
Education
qualification:
BE, B.Tech, ME, M,Tech, MBA, MCA (60% throughout)
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Business Administration, Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Windows Azure CloudOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date