AWS Data and Analytics Advisory Senior Associate

IN_Manager_AWS_Data and Analytics_Advisory_Gurgaon

Line of Service

Advisory

Industry/Sector

FS X-Sector

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & 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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

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.

Responsibilities:

1. AWS Service Implementation: o Design, develop, and maintain data solutions using AWS services, with a particular focus on S3, Athena, Glue, EMR, and Redshift. o Implement and optimize data lakes and data warehouses on AWS platforms. 2. Data Pipeline Development: o Create and maintain efficient ETL processes using PySpark and other relevant tools. o Develop scalable and performant data pipelines to process large volumes of data. o Implement data quality checks and monitoring systems to ensure data integrity. 3. Database Management: o Proficient with SQL and NoSQL databases, optimizing queries and database structures for performance. o Design and implement database schemas that align with business requirements and data models. 4. Performance Optimization: o Continuously monitor and optimize the performance of data processing jobs and queries. o Implement best practices for cost optimization in AWS environments. o Troubleshoot and resolve performance bottlenecks in data pipelines and analytics processes. 5. Collaboration and Documentation: o Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions. o Develop and maintain comprehensive documentation for data architectures, processes, and best practices. Participate in code reviews and contribute to the team's knowledge base

Mandatory skill sets:

AWS ·

Preferred skill sets:

AWS

Years of experience required:

4+

regular

Education qualification:

BE/BTech/MBA/MCA

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

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

Certifications (if blank, certifications not specified)

Required Skills

AWS Devops

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Coaching and Feedback, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy {+ 29 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

September 1, 2025

Experience Level

Mid Level