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 data enablement at PwC, you will focus on innovating and delivering digital services for a given enterprise resource planning (ERP) or area of the business. You will have specialised knowledge of your given ERP or business area, coupled with broader skills in data extraction, acquisition, manipulation, visualisation and modelling, as well as IT controls, to support delivering services to clients (internal or external).*Why PWCAt 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 .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….Responsibilities:· Infrastructure Management: Design, deploy, and maintain scalable, reliable, and secure AWS cloud infrastructure. · Automation: Implement Infrastructure as Code (IaC) using tools like Terraform or CloudFormation. · CI/CD Pipeline Development: Build and manage Continuous Integration/Continuous Delivery pipelines (e.g., Jenkins, AWS CodePipeline). · Security & Optimization: Implement IAM roles, security groups, and encryption (KMS) while optimizing costs and performance. · Troubleshooting: Resolve technical issues across cloud environments, including container services (ECS/EKS).Mandatory skill sets:AWS Glue (ETL, PySpark, Job Triggers, Workflows), S3 , Lamda , AthenaPreferred skill sets:AWS Glue (ETL, PySpark, Job Triggers, Workflows), S3 , Lamda , AthenaYears of experience required:2 to 10 yearsEducation qualification:Graduate Engineer or Management GraduateEducation (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master Degree, Bachelor DegreeDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)Required Skills Data EngineeringOptional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Auditing Methodologies, Communication, Creativity, Data Analysis and Interpretation, Data Analytics, Data Cleaning, Data Collection, Data Engineering, Data Error Checking, Data Ingestion, Data Integration, Data Integrity, Data Interpretation, Data Management, Data Quality, Data Quality Assessment, Data Security, Data Transformation, Embracing Change, Emotional Regulation, Empathy {+ 17 more}Desired Languages (If blank, desired languages not specified)Travel Requirements Not SpecifiedAvailable for Work Visa Sponsorship? NoGovernment Clearance Required? NoJob Posting End Date April 9, 2026
