Job
Description
Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decisionmaking 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 purposeled and valuesdriven 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 . & 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. Responsibilities This role is accountable for Designing and Implementing Integrations Build, deploy, and maintain integrations using cloudnative services (AWS, GCP) and middleware tools. API and EventDriven Architectures Develop and manage APIs, API gateways, and Kafkabased event streaming solutions for realtime data processing. Scalability and Performance Optimization Ensure integrations are robust, secure, and optimized for performance and costeffectiveness. Monitoring and Troubleshooting Proactively identify and resolve integration failures, ensuring system reliability and minimal downtime. Collaboration and Documentation Work with crossfunctional teams to understand integration needs and maintain clear technical documentation. Mandatory skill sets Must have knowledge, skills and experiences Strong understanding of CI/CD pipelines and Infrastructure as code principles such as Terraform. Experience with CI/CD tooling such as GitHub, Jenkins, Codefresh , Docker, Kubernetes. Experienced in building RestFul API s using Java (Springboot). Experienced in AWS development environment and ecosystem Cloud native and digital solutioning leveraging emerging technologies incl. containers, serverless, data, API and Microservices etc Experience with measuring, analysing, monitoring, and optimizing cloud performance including cloud system reliability and availability Understanding of storage solutions, networking, and security. Strong Familiarity with cloud platform specific Well Architected Frameworks Production experience of running services in Kubernetes. Preferred skill sets Good to have knowledge, skills and experiences The good to have knowledge, skill and experience (KSE) the role requires are MultiCloud Experience Exposure to both AWS and GCP integration services and the ability to work across different cloud providers. Message Queue Systems Experience with messaging systems like RabbitMQ, ActiveMQ, or Google Cloud Pub/Sub Serverless Architectures Handson experience with serverless computing and eventdriven workflows. Observability and Logging Knowledge of monitoring and logging tools such as Prometheus, Grafana, AWS CloudWatch, or GCP Stackdriver. Security Best Practices Understanding of cloud security, encryption, and compliance frameworks (e.g., IAM policies, SOC2, GDPR). Testing and Automation Knowledge of API testing frameworks (Postman, Karate, or REST Assured) and automation testing for integrations. Kubernetes and Containerization Experience deploying and managing integrations in containerized environments using Kubernetes (EKS/GKE). Networking Concepts Understanding of VPCs, private link, service mesh, and hybrid cloud connectivity. Knowledge of ANZ Retail and Commercial Banking Systems Familiarity with ANZ banking technology ecosystems, core banking platforms, payment systems, and regulatory requirements. Years of experience required o 7 to 8 years (23 years relevant) Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Power BI Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, 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, Inclusion, Industry Trend Analysis {+ 16 more} No
