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Senior Associate AWS Data Engineer, Data Analytics

PwC

On-site
Bengaluru
Full-time
Senior
Mid Level
4+ yrs
Salary not listedPosted 6d ago

Real job — pulled straight from PwC’s careers page · Verified August 7, 2026 · No reposts.

Job description

PwC is hiring a Senior Associate AWS Data Engineer, Data Analytics — a full-time, based in Bengaluru role. Apply directly on PwC's careers page below.

IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore

Location: Bengaluru Millenia

Time Type: Full time

Job Description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data management focus on organising and maintaining data to enable accuracy and accessibility for effective decision-making. These individuals handle data governance, quality control, and data integration to support business operations.

In data governance at PwC, you will focus on establishing and maintaining policies and procedures to optimise the quality, integrity, and security of data. You will be responsible for optimising data management processes and mitigate risks associated with data usage.

*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…. 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: 

  • Strong proficiency in SQL, Python, and PySpark. 

  • Expertise in AWS data ecosystem – including Glue, Redshift, S3, Lambda, EMR, and Athena. 

Preferred skill sets: 

  • AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect. 

 

Years of experience required: 

 

4-8 

Education qualification: 

 

B.Tech / M.Tech / MBA / MCA 

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

Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Informatica MDM

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Process Management (BPM), Communication, Corporate Governance, Creativity, Data Access Control, Database Administration, Data Governance Training, Data Processing, Data Processor, Data Quality, Data Quality Assessment, Data Quality Improvement Plans (DQIP), Data Stewardship, Data Stewardship Best Practices, Data Stewardship Frameworks, Data Warehouse Governance, Data Warehousing Optimization, Embracing Change, Emotional Regulation, Empathy, Inclusion {+ 17 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

February 18, 2026

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Frequently asked questions

What skills are required for Senior Associate AWS Data Engineer, Data Analytics at PwC?

The required skills for Senior Associate AWS Data Engineer, Data Analytics at PwC include: Lambda, S3, Redshift, Snowflake, SQL, Python, Spark, AWS Certified Solutions Architect.

What is the seniority level for Senior Associate AWS Data Engineer, Data Analytics at PwC?

Senior Associate AWS Data Engineer, Data Analytics at PwC is a Senior / Mid Level level position.

How do I apply for Senior Associate AWS Data Engineer, Data Analytics at PwC?

You can view the full description and apply for Senior Associate AWS Data Engineer, Data Analytics at PwC on EchoJobs: https://echojobs.io/job/pwc-in-senior-associate-aws-data-engineer-data-analytics-advisory-bangalore-78ioi.