Job Description

Line of Service Advisory
Industry/Sector FS X-Sector
Specialism Operations
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 intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.
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.
Responsibilities:
Design, develop, and implement scalable solutions using AWS services such as S3, Glue, Lambda, Kinesis, CloudFormation, and Athena.
Build and maintain data processing pipelines using AWS Glue for ETL (Extract, Transform, Load) operations, ensuring efficient and robust data transformation and movement.
Develop serverless functions with AWS Lambda to automate tasks and integrate seamlessly with other AWS services to improve system performance.
Employ Amazon Kinesis for real-time data streaming, crafting solutions that support dynamic data processing and analytics.
Utilize AWS CloudFormation to provision, configure and manage cloud infrastructure through code, ensuring consistent and reliable deployment of resources.
Implement data query solutions using Amazon Athena for SQL-based querying of large datasets stored in S3, optimizing query performance and resource usage.
Collaborate with cross-functional teams to integrate AWS services into existing systems, enhancing operational capabilities and efficiency.
Stay updated with the latest AWS services and technology trends, leveraging these advancements to innovate and optimize cloud solutions.
Core Skills (Must-Have):
Strong expertise with AWS services, specifically S3, Glue, Lambda, Kinesis, CloudFormation, and Athena.
Proficiency in designing and deploying scalable data architectures on AWS.
Hands-on experience with data processing and real-time analytics using AWS Glue and Kinesis.
Competence in infrastructure as code (IaC) using AWS CloudFormation.
Solid understanding of serverless architectures and event-driven systems.
Familiarity with security best practices within AWS environments.
Good to Have:
AWS Certification (Solutions Architect, Data Analytics, Developer, etc.) is a plus.
Experience with other AWS services and integrations.
Knowledge of best practices for cloud security and compliance.
Excellent problem-solving skills with a focus on delivering innovative cloud solutions.
Mandatory skill sets:
Agentic Engineer AWS,AWS S3, Glue, lambda, Kinesis, CloudFormation, Athena, Kinesis
Preferred skill sets:
Agentic Engineer AWS,AWS S3, Glue, lambda, Kinesis, CloudFormation, Athena, Kinesis
Years of experience required:
4 to 7yrs
Education qualification:
Bachelor's degree in Engineering (B.E. Hons) or related field. Masters degree
Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master Degree
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Automation Development
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement {+ 36 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