Job Description

Line of Service Advisory
Industry/Sector 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 decision-making and driving business growth.
Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
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 .
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.
& Summary: A career within.... A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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:

• Strong hands-on experience with Java (Java 8 and above), Spring Boot, and related frameworks, Spring MVC, Spring Data and Spring Security. o Proficient in a front-end technology and framework - JavaScript, ReactJS, Redux, OOJS, ECMA Script5, HTML5, CSS, LESS, SASS, Bootstrap and Responsive web design o Solid understanding of Kafka architecture and experience with event-driven systems. o Experience with SQL and NoSQL databases, such as PostgreSQL, MongoDB, Cassandra. oStrong understanding of microservices and micro frontend architecture, containerization, and orchestration tools like Docker and Kubernetes oStrong in programming, data structure and algorithms. oProficiency in building RESTful APIs and microservices architecture. oDesign Patterns (GoF Design Patterns, System Design) oExp in Testing frameworks (JUnit, Mockito)

Mandatory skill sets:
Java, J2EE, Microservices, DSA, RESTful APIs, Kafka Spring Framework (Spring Boot, Spring MVC, Spring Data, Spring JPA, Spring Security, Spring Cloud), Micronaut REST Services, SQL/NOSQL, React JS, JavaScript, Redux, HTML, CSS, Redux Toolkit
Preferred skill sets:
Reactive programming Spring Webflux, Graph SQL, MongoDB, Next JS, NodeJS, Experience with cloud platforms (GCP(Highly Preferred), Azure, AWS). Experience in Retail/e-Commerce, Reactive programming
Years of experience required:
4-8
Education qualification:
B.Tech / M.Tech / MBA / MCA
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Java
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, 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, Data Modeling, Data Pipeline {+ 38 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements Not Specified
Available for Work Visa Sponsorship? No
Government Clearance Required? No
Job Posting End Date

Skills Required