IN_Senior Associate_AWS Data Engineer _GCC_ Advisory_ Bangalore

PwC India

Bengaluru

On-site

INR 1,400,000 - 2,300,000

Full time

31 hours ago

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Job summary

PwC is seeking a Data Engineer to design and build robust data pipelines and analytics infrastructure on AWS. You will transform raw data into actionable insights and support client data solutions across ETL/ELT processes.

Ideal candidates have 4–7 years of data engineering experience, strong SQL, Python, PySpark skills, and hands-on expertise with AWS services such as Glue, Redshift, S3, Lambda, EMR, and Athena. Bachelor of Engineering or Technology required.

Qualifications

Strong proficiency in SQL, Python, and PySpark.
Expertise in AWS data ecosystem – Glue, Redshift, S3, Lambda, EMR, and Athena.
4–7 years of experience in data engineering.
Bachelor of Engineering or Bachelor of Technology.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).
Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).
Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.).
Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.
Strong proficiency in SQL, Python, and PySpark.
Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.

Skills

SQL

Python

PySpark

AWS data ecosystem

Education

Bachelor of Engineering

Bachelor of Technology

Job description

Job 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 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.

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

Design, develop, and maintain ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, Data Pipeline, EMR).
Build and optimize data lakes and data warehouses using Amazon S3, Redshift, Athena, and Snowflake (if applicable).
Implement and manage data ingestion frameworks from structured and unstructured data sources (APIs, RDBMS, streaming, etc.).
Ensure data quality, integrity, and security using tools like AWS Lake Formation, IAM, and KMS.
Strong proficiency in SQL, Python, and PySpark.
Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena.

Mandatory skill sets