Job
Description
Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & 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 decisionmaking and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. 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 Role Working alongside other developers, testers, BA s, designers and product owners and you need to be able to communicate complex technical issues and be good at asking hard questions, at the right time. Working in small teams where collaboration and relationship building is key. We are interested in people who enjoy a dynamic, rapidly changing environment and importantly who want to drive change in the organization. Work in a build it and run it environment where teams build, deploy, monitor and support their components that they own. Accountabilities To grow and be successful in the role, you will ideally bring the following Great communication skills. You are happy to work alongside a team where you talk openly and constructively about technical issues. Solid knowledge and experience in Microservice development, using technologies like preferably Node.js (including frameworks like Fastify/Molecular), ES6/TypeScript Experience in software and Microservice design, familiar with design patterns and best practices API development and integration experience using REST/JSON, Kafka, message queues Experience with API service testing, such as unit, integration, acceptance, TDD / BDD, mocking and stubbing Solid DevOps knowledge including Configuring continuous integration, deployment, and delivery tools like Jenkins, or GitLab Cl Containerbased development using platforms like Docker, Kubernetes, and OpenShift Instrumenting monitoring and logging of applications Experience working with Microservices on AWS (EKS, Codefresh, GitHub Actions). 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 Solid DevOps knowledge including o Configuring continuous integration, deployment, and delivery tools like Jenkins, or GitLab Cl o Containerbased development using platforms like Docker, Kubernetes, and OpenShift o Instrumenting monitoring and logging of applications Experience working with Microservices on AWS (EKS, Codefresh, GitHub Actions). Years of experience required Experience 7 to 8 years (23 years relevant) Education qualification 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, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more} No
