IN-Manager__ Cloud Engineer-- Data and Analytics_Advisory_Pan India
IN-Manager__ Cloud Engineer-- Data and Analytics_Advisory_Pan India
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob 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 forour 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 foreach 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 firms 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) 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. Education & Experience: Bachelors degree in Computer Science Engineering or related field or equivalent practical experience. 7-11 years of experience in software development with a focus on AWS cloud and microservices.
Mandatory skill sets:
Cloud Engineer (JavaSpringboot AWS)
Preferred skill sets:
Cloud Engineer (JavaSpringboot AWS)
Years of experience required:
7-11 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 Technology Bachelor of Engineering Master of Engineering Master of Business AdministrationDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Cloud EngineeringOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback 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 33 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
