Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

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.

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.

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.

& Summary:A career within….

Responsibilities:

- Design, develop, andmaintainscalable Java applications using Spring Boot and related technologies.

- Integrate various analytics services (e.g., Google Analytics, Power BI, Tableau, etc.) into platformsand applications

- Collaborate with cross-functional teams to gather requirements and deliver technical solutions that alignwith businessgoals.

- Build and enhance products and platforms that support analytics capabilities, ensuring high performanceand scalability

- Write efficient, clean, and well-documented code that adheres to best practices.

- Develop and integrate RESTful APIs and microservices to support real-time data processing and analytics.

- Ensure continuous improvement by activelyparticipatingin code reviews and following best practicesin development

- Troubleshoot, debug, and resolve application issues and bugs.

- Collaborate with DevOps teams to ensure proper deployment and performance of analytics platformsin productionenvironments.

- Stay updated with the latest industry trends and advancements in Java, Spring Boot, and analytics tools.

### **RequiredQualifications: **

-Experience in Java development, with a strong emphasis on Spring Boot.

- Proven experience integrating analytics services (e.g., Google Analytics, Power BI, Tableau) into applicationsand platforms

- Hands-on experience in building andoptimizingproducts or platforms for analytics and data processing.

- Strong understanding ofmicroservicesarchitecture, RESTful APIs, and cloud-based deployment (e.g.,AWS,Azure).

-Proficiencywith relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases.

- Solid understanding of object-oriented programming, design patterns, and software architecture principles.

- Experience with version control tools like Git.

- Excellent problem-solving and debugging skills.

-Strong communicationskills, with the ability to work in a collaborative, fast-paced environment.

### **PreferredQualifications:**

- Experience with front-end technologies like JavaScript, React, or Angular is a plus.

- Knowledge of DevOps practices, CI/CD pipelines, and containerization tools (e.g., Docker, Kubernetes).

- Familiarity with big data tools and technologies such as Apache Kafka, Hadoop, or Spark.

- Experience working in an agile

Mandatory skill sets:

Java,Spring boot,Kotlin

Preferred skill sets:

Java,Spring boot, Kotlin

Years of experiencerequired

3-8Years

Educational Qualification

BE,B.Tech, MCA,M.Tech

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Bachelor of Engineering, Bachelor of TechnologyDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Java

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, 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, Data Quality, Data Strategy {+ 22 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 14, 2026