IN_Senior Associate_Full Stack Developer Data and Analytics_Advisory_Pan India

Line of Service

Advisory

Industry / Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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.

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.

Job Description & Summary : A career within PWC

Responsibilities :

Job Title : Cloud Engineer (Java 17+, Spring Boot, Microservices, AWS) Location : Bengaluru, Gurugram Job Type : Full-Time Job Overview : As a Cloud Engineer, you will be responsible for developing, deploying, and managing cloud-based applications and services on AWS. You will use your expertise in Java 17+, Spring Boot, and Microservices to build robust and scalable cloud solutions. This role will involve working closely with development teams to ensure seamless cloud integration, optimizing cloud resources, and leveraging AWS tools to ensure high availability, security, and performance. Key Responsibilities :

• Cloud Infrastructure : Design, build, and deploy cloud-native applications on AWS, utilizing services such as EC2, S3, Lambda, RDS, EKS, API Gateway, and CloudFormation.
• Backend Development : Develop and maintain backend services and microservices using Java 17+ and Spring Boot, ensuring they are optimized for the cloud environment.
• Microservices Architecture : Architect and implement microservices-based solutions that are scalable, secure, and resilient, ensuring they align with AWS best practices.
• CI / CD Pipelines : Set up and manage automated CI / CD pipelines using tools like Jenkins, GitLab CI, or AWS CodePipeline for continuous integration and deployment.
• AWS Services Integration : Integrate AWS services such as DynamoDB, SQS, SNS, CloudWatch, and Elastic Load Balancing into microservices to improve performance and scalability.
• Performance Optimization : Monitor and optimize the performance of cloud infrastructure and services, ensuring efficient resource utilization and cost management in AWS.
• Security : Implement security best practices in cloud applications and services, including IAM roles, VPC configuration, encryption, and authentication mechanisms.
• Troubleshooting & Support : Provide ongoing support and troubleshooting for cloud-based applications, ensuring uptime, availability, and optimal performance.
• Collaboration : Work closely with cross-functional teams, including frontend developers, system administrators, and DevOps engineers, to ensure end-to-end solution delivery.
• Documentation : Document the architecture, implementation, and operations of cloud infrastructure and applications to ensure knowledge sharing and compliance. Required Skills & Qualifications :
• Strong experience with Java 17+ (latest version) and Spring Boot for backend development.
• Hands-on experience with AWS Cloud services such as EC2, S3, Lambda, RDS, EKS, API Gateway, DynamoDB, SQS, SNS, and CloudWatch.
• Proven experience in designing and implementing microservices architectures.
• Solid understanding of cloud security practices, including IAM, VPC, encryption, and secure cloud-native application development.
• Experience with CI / CD tools and practices (e.g., Jenkins, GitLab CI, AWS CodePipeline).
• Familiarity with containerization technologies like Docker, and orchestration tools like Kubernetes.
• Ability to optimize cloud applications for performance, scalability, and cost-efficiency.
• Experience with monitoring and logging tools like CloudWatch, ELK Stack, or other AWS-native tools.
• Knowledge of RESTful APIs and API Gateway for exposing microservices.
• Solid understanding of version control systems like Git and familiarity with Agile methodologies.
• Strong problem-solving and troubleshooting skills, with the ability to work in a fast-paced environment. Preferred Skills :
• AWS certifications, such as AWS Certified Solutions Architect or AWS Certified Developer.
• Experience with Terraform or AWS CloudFormation for infrastructure as code.
• Familiarity with Kubernetes and EKS for container orchestration in the cloud.
• Experience with serverless architectures using AWS Lambda.
• Knowledge of message queues (e.g., SQS, Kafka) and event-driven architectures.

Mandatory skill sets : Cloud Engineer (Java, Spring Boot, Microservices, AWS)

Preferred skill sets :

Cloud Engineer (Java, Spring Boot, Microservices, AWS)

Years of experience required :

3-8 years

Education qualification :

BE / BTECH, ME / MTECH, MBA, MCA

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

Degrees / Field of Study required : Bachelor of Engineering, MBA (Master of Business Administration), Bachelor of Technology

Degrees / Field of Study preferred :

Certifications (if blank, certifications not specified)

Required Skills

Generative AI

Optional Skills

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 + 28 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

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Skills Required

S3, Rds, Cloudformation, Dynamodb, Spring Boot, Microservices, Jenkins, Lambda, Git, Ec2, Cloudwatch, Docker, Sqs, Sns, AWS CodePipeline, Restful Apis, Kubernetes, Api Gateway, Aws