AWS Data Engineering Senior Associate - Redshift+Textract+Comprehend+PySpark

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

The Opportunity

Join our Acceleration Center India and help shape the future of business for our diverse client portfolio across geographies and jurisdictions. You’ll work at the heart of global teams across Advisory, Assurance, Tax and Business Services—solving real client challenges through connected collaboration. We’ll help you grow your skills so you can go further. With hands-on learning, cutting-edge tools and an inclusive culture, this is your opportunity to do inspiring work that makes a difference—every day.

As an AWS Data Engineering Senior Associate you will design and build data infrastructure and systems that support efficient data processing, integration, and transformation for client engagements within our Data and Analytics Engineering practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, build meaningful client connections, and guide junior team members while developing your technical skills and personal brand. In this role at PwC Acceleration Center India, you will use AWS, Redshift, Textract, Comprehend, and PySpark to develop data pipelines, translate raw information into usable insights, and contribute to work that supports client decision-making and business growth.

Responsibilities

- Designing and building data pipelines, integration flows, and transformation logic for cloud-based data platforms
- Developing AWS data solutions using Redshift, Textract, Comprehend, and PySpark to process and structure client data
- Translating business needs into scalable data architectures that support analytics, reporting, and AI-enabled use cases
- Optimizing data ingestion, storage, and query performance across distributed environments
- Applying data modeling, validation, and quality checks to improve consistency across source and target systems
- Using Airflow, Databricks, Snowflake, and cloud engineering tools to automate and orchestrate data workflows
- Interpreting complex data requirements and breaking down technical challenges into deliverable workstreams
- Reviewing technical deliverables from junior team members and guiding their development through feedback and coaching
- Collaborating with client teams to gather requirements, address data issues, and adapt solutions as project needs evolve
- Applying technical standards, security practices, and data governance principles across engineering activities

What You Must Have

- At least a Bachelor's degree
- At least 5+ years of experience
- Oral and written proficiency in English required

What Sets You Apart

- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, Mathematical Statistics
- Demonstrating AWS data engineering experience with Redshift and Pyspark
- Applying Textract and Comprehend for document extraction and text analysis
- Developing cloud data pipelines supporting client delivery workstreams
- Interpreting data to inform recommendations and technical decisions
- Mentoring junior team members while navigating complex project demands

Travel Requirements

Not Specified

Job Posting End Date