IN-Manager_ Java + Scala Data Engineer _ GCC_ Advisory _Mumbai

PwC; Mumbai Suburban; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

PwC in India is seeking an experienced Data Engineer/Manager level to design and build robust data and analytics solutions. You will leverage Java, microservices, and cloud-ready architectures to transform raw data into actionable insights and scalable platforms for clients.

You will join a collaborative Advisory team focused on Data, Analytics & AI, driving innovation through ML/AI, ETL pipelines, and data management, while mentoring peers and delivering high-quality code within an Agile

Qualifications

• 4–8 years of relevant experience in Java, APIs, Spring, and microservices.
• Strong OO design and development fundamentals.
• Experience with cloud-ready architectures and scalable microservices.
• Proficient SQL with PostgreSQL / MS SQL Server capabilities.
• Linux proficiency and shell scripting.
• DevOps, Git, and CI/CD tooling experience (Jenkins, Maven/Gradle).
• Familiar with Agile methodologies and JIRA.

Responsibilities

• Design and implement scalable data engineering solutions across all layers.
• Develop Java/Scala data pipelines, APIs, and services.
• Mentor teammates and ensure coding best practices.
• Collaborate with global technologists and business users.
• Participate in all SDLC phases from analysis to deployment.
• Drive ideas and innovations to improve processes.
• Coordinate with end users to design solutions.

Skills

Core Java

Java Restful APIs

Spring Framework

Spring Boot

Microservices

PostgreSQL

SQL proficiency

Linux

Python

DevOps

Git

Jenkins

CI/CD

Agile/Scrum

JIRA

Tools

Gradle/Maven

Job description

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Manager

Job Description & 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 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 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 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

• We're looking for a strong Java + scala Data Engineer with solid hands-on experience in design and implement high-quality scalable and robust technical solutions across all layers of application. The role demands deep comfort with java and its ecosystem.
• Design and implement high-quality scalable and robust technical solutions across all layers of application development, including APIs, application logic, performance, reliability, persistence, tests, CI/CD, and IaC.
• Mentor less experienced team members, led by example, and produce high quality code, while adhering to development best practices.
• Participating in our agile ceremonies and actively driving towards the team's goals.
• Analyze user requirements, envision system features and functionality.
• Working collaboratively with a global team of technologists and business users.
• Participate in all aspects of SDLC (analysis, design, coding, testing, implementation, and deployment)
• Leading with ideas and innovation.
• Managing communication and partnering with our end users to design solutions.

Required Skills

• At least 4 years' relevant experience (4-8 years of total experience) with skills using Core Java, Java Restful APIs, Gradle/Maven, Spring, Spring Boot, and related frameworks.
• Solid understanding and experience with Object-Oriented design and development
• Solid understanding and experience with Microservices architecture and design
• Experience in building server-side applications using J2EE Technologies.
• Excellent problem-solving skills
• Experience in building Cloud or Cloud ready applications.
• Experience with building highly scalable, secure, and fault tolerant microservices.
• Proficient with database technologies with complex SQL queries (preferably PostgreSQL / MS SQL Server / DB2), including modelling and performance tuning.
• Highly proficient working in Linux environments.
• Experience building solutions in Python / Perl and Unix shell such as Bash.
• Experience with DevOps
• Competency with source control (preferably Git) and Continuous Integration tools such as Jenkins.
• Practiced understanding of Agile development methodologies & understanding of DevOps Integration
• Strong familiarity with Agile software/tools (e.g., JIRA, etc.).

Preferred Qualifications

• Excellent problem-solving skills
• Experience in building Cloud or Cloud ready applications.
• Experience with building highly sc