IN_Senior Associate_AWS Data Engineer _Data Analytics_ Advisory_ Bangalore

PwC India; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Mentorship and growth opportunities

Flexible work options

Inclusive benefits

Job summary

PwC India is seeking a Senior Data Engineer for data governance and management in Bengaluru. The role focuses on building and maintaining ETL/ELT pipelines on AWS, ensuring data quality, security, and accessibility for informed decision-making.

You will work with a team that values trust, inclusion, and innovation. Responsibilities include designing data pipelines, building data lakes and warehouses, and integrating diverse data sources.

Qualifications

• 4–8 years of experience in data engineering or data governance roles.
• Experience designing and maintaining ETL/ELT pipelines on AWS.
• Strong knowledge of data quality, security, and governance practices.

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 (S3, Redshift, Athena, Snowflake).
• Implement and manage data ingestion from APIs, RDBMS, and streaming sources.
• Ensure data quality, integrity, and security using governance tools and IAM/KMS.

Skills

SQL

Python

PySpark

AWS data ecosystem

Education

B.Tech / M.Tech / MBA / MCA

Tools

AWS Glue

Redshift

S3

Lambda

EMR

Athena

Snowflake

Job description

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. 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

• 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.
• 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

Education (if blank, degree and/or field of study not specified) Degrees/Field of Study preferred:

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

Travel Requirements: Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date February 18, 2026

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Senior Associate