Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

& Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. * Why PWCAt 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 usAt 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, andmaintainscalable and robust data pipelines using Amazon Web Services (AWS)

• Collaborate with cross-functional teams to understand data requirements and implement effective solutions.

• Optimizedata workflows for efficiency and reliability.

• Analyze and resolve technical issues related to data engineering processes.

• Ensure the security and compliance of data systems within AWS.

• Provide mentorship and guidance to junior team members when applicable.

Experience & Qualifications

• Experience: 4–8 years of relevant experience in data engineering, specifically with Amazon Web Services (AWS)

• Education: No specific educational qualification isrequired, but a strong background in Computer Science, Information Technology, or related fields isadvantageous

• Certifications: While not mandatory, relevant AWS certifications would be a plus.

• Provenexpertisein designing and implementing data solutions in hybrid environments.

Preferred Sector Expertise

• While sectorexpertiseis not specified, a candidate with experience across diverse domains will be highly valued.

Work Environment

• Type: Hybrid (combination of remote and in-office work).

• Employee Type: Full-Time Employee (FTE).

Why Join Us

• Opportunity to work oncutting-edgeAWS technologies in a senior capacity.

• Be part of a dynamic team with a focus on innovation and problem-solving.

• Competitive compensation and benefits.

• Hybrid work flexibility to ensure a healthy work-life balance.

Mandatory skill sets:

Amazon Web Services( AWS)

Preferred skill sets:

Amazon Web Services( AWS)

Years of Experience Required:

4-7 years

Education Qualification:

BE, B.Tech, MCA, M.Tech, MBA

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

Degrees/Field of Study required: Bachelor of Engineering, Master of EngineeringDegrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

April 15, 2026