# IN_Senior Associate_AWS Data Engineer_ GCC_Advisory_Bangalore at PwC

PwC is hiring an IN_Senior Associate_AWS Data Engineer_ GCC_Advisory_Bangalore. Level rates it Little AI ●○○○; you can [apply on PwC](https://jobsbylevel.com/go/95ed5a0d-4786-43a8-b9ed-c7f1a8a622ab?utm_medium=ai-agent).

AI Level 1, AI centrality 18 out of 100. Bengaluru Millenia.

## Details

- Company: [PwC](https://jobsbylevel.com/companies/pwc)
- AI level: AI Level 1 (score 18 out of 100)
- Location: Bengaluru Millenia
- Posted: November 11, 2026
- Apply: https://jobsbylevel.com/go/95ed5a0d-4786-43a8-b9ed-c7f1a8a622ab?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=in-senior-associate-aws-data-engineer-gcc-advisory-bangalore-at-pwc-e25c36

## 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 business application consulting specialise in consulting services for a variety of business applications, helping clients optimise operational efficiency. These individuals analyse client needs, implement software solutions, and provide training and support for seamless integration and utilisation of business applications, enabling clients to achieve their strategic objectives. In SAP data and analytics at PwC, you will specialise in providing consulting services for data and analytics solutions using SAP technologies. You will analyse client requirements, design and implement data management and analytics solutions, and provide training and support for effective utilisation of SAP data and analytics tools. Working in this area, you will work closely with clients to understand their data needs, develop data models, perform data analysis, and create visualisations and reports to support data-driven decision-making, helping them optimise their data management processes, enhance data quality, and derive valuable insights from their data to achieve their strategic objectives. *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: We are looking for an experienced Data Engineer to lead and perform hands-on development of scalable, cloud-native data engineering solutions. The ideal candidate will bring strong programming expertise in Python, PySpark, and related languages, combined with deep, hands-on experience building, deploying, and operating data pipelines on AWS. This role requires strong capability in handling large datasets and complex data models, along with solid SQL Server and stored procedure experience, to support enterprise-scale data ingestion, migration, and transformation initiatives. Responsibilities: Lead and perform hands-on development of data engineering solutions, writing clean, efficient, and maintainable code in Python, PySpark, and other relevant programming languages. Design, develop, and deploy cloud-native solutions on AWS, leveraging Compute services (EC2, Lambda) and Storage services (S3) to build scalable data platforms. Design and manage database solutions using RDS, Aurora, Postgres, and DynamoDB to support structured and unstructured data workloads. Build and orchestrate data workflows using Apache Airflow, AWS Step Functions, and SNS for reliable, automated pipeline execution. Develop and optimize ETL/analytics pipelines using AWS Glue, EMR, Athena, and Redshift for large-scale data processing and analytics. Implement and manage infrastructure as code and deployment automation using AWS CloudFormation and CodePipeline. Plan and execute data migration strategies using AWS DataSync and AWS

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/in-senior-associate-aws-data-engineer-gcc-advisory-bangalore-at-pwc-e25c36

Source: https://jobsbylevel.com/jobs/in-senior-associate-aws-data-engineer-gcc-advisory-bangalore-at-pwc-e25c36

## Cite this page

Level. https://jobsbylevel.com/jobs/in-senior-associate-aws-data-engineer-gcc-advisory-bangalore-at-pwc-e25c36.

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