Software Engineer- AWS -Senior Associate

PwC Acceleration Center India; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

PwC Acceleration Center India seeks a Senior AWS Software Engineer to build and maintain data engineering solutions. You will design scalable data platforms, develop pipelines, and collaborate across advisory, assurance, tax, and business services to deliver secure cloud-based data modernization.

Role requires strong AWS hands-on experience, expertise in Snowflake tooling, and mentoring capabilities within a distributed team.

Qualifications

• Bachelor's degree required.
• Minimum 4 years of experience in data engineering or related field.
• Excellent written and spoken English.
• Experience architecting scalable cloud data solutions on AWS.
• Hands-on implementation of data lakes/hubs in AWS and data pipelines.
• Proficiency with Snowflake and related tools (SnowSQL, SnowPipe).

Responsibilities

• Develop AWS-based data engineering solutions for modern data platforms.
• Build, test, and maintain data pipelines across cloud environments.
• Design scalable data models and warehouse structures for analytics.
• Orchestrate data workflows using Airflow, Databricks, Snowflake, and AWS services.
• Troubleshoot performance and data quality issues across data layers.
• Apply data engineering methods to improve architecture, security and access patterns.
• Translate requirements into deliverables and timelines.
• Review junior team work and provide guidance on engineering practices.
• Engage with clients and project leads to refine solutions.

Skills

English proficiency

Problem solving

Mentoring juniors

Education

Bachelor's degree

Tools

Snowflake

SnowSQL

SnowPipe

ETL pipelines

Hadoop

Spark

AWS EMR

AWS Glue

SageMaker

S3

Redshift

DynamoDB

Kinesis

SQS

MSK

Airflow

Nifi

Luigi

Git

CI/CD

Jenkins

Job description

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 a Software Engineer - AWS - Senior Associate you will contribute to data engineering solutions that support cloud-based modernization, including designing, building, and maintaining scalable services and data pipelines within our Cloud Engineering, Data & Analytics practice. As a Senior Associate you will analyze complex problems, manage assigned workstreams, guide junior team members, and use critical thinking to develop deliverables that align with client needs and broader project objectives. In this role at PwC Acceleration Center Bangalore, you will bring software engineering skills to data modernization efforts, collaborate across technical teams, and help develop solutions that support secure, reliable, and maintainable cloud environments.

Responsibilities

• Developing AWS-based data engineering solutions that support modern data platforms and client delivery workstreams
• Building, testing, and maintaining data pipelines, data integrations, and transformation logic across cloud environments
• Designing scalable data models and warehouse structures that support analytics, reporting, and downstream applications
• Using Apache Airflow, Databricks, Snowflake, and AWS services to orchestrate and optimize data processing workflows
• Troubleshooting performance, data quality, and query issues across databases, pipelines, and data warehouse layers
• Applying data engineering methods to improve data architecture, validation, security, and access patterns
• Translating business and technical requirements into deliverables that align with project scope and delivery timelines
• Reviewing technical work from junior team members and providing guidance on engineering methods and code quality
• Interpreting feedback from clients and project leads to refine solutions and address changing priorities
• Contributing to discussions on cloud engineering, data modernization, and product innovation initiatives

What You Must Have

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required
• Experience in architecting and delivering highly scalable, distributed, cloud-based enterprise data solutions
• Strong expertise in the end-to-end implementation of Cloud data engineering solutions like Enterprise Data Lake, Data hub in AWS
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe,ETL data Pipelines, Big Data model techniques using

Python / Java

• Experience in loading disparate data sets and translating complex functional and technical requirements into detailed design
• Should be aware of deploying Snowflake features such as data sharing, events and lake-house patterns
• Should have experience with data security and data access controls and design
• Deep understanding of relational as well as NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
• Proficient in Lambda and Kappa Architectures
• Strong AWS hands-on expertise with a programming background preferably Python/Scala
• Good knowledge of Big Data frameworks and related technologies - Experience in Hadoop and Spark is mandatory
• Strong experience in AWS compute services like AWS EMR, Glue and Sagemaker and storage services like S3, Redshift & Dynamodb
• Good experience with any one of the AWS Streaming Services like AWS Kinesis, AWS SQS and AWS MSK
• Troubleshooting and Performance tuning experience in Spark framework - Spark core, Sql and Spark Streaming
• Experience in one of the flow tools like Airflow, Nifi or Luigi
• Good knowledge of Application DevOps tools (Git, CI/CD Frameworks) - Experience in Jenkins or Gitlab with rich experience in source code management like Code Pipeline, Code Build and Code Commit
• Experience with AWS CloudWatch, AWS Cloud Trail, AWS Account Config, AWS Config Rules

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 workstreams across client engagements
• Utilizing Apache Airflow, Databricks, or Snowflake in delivery
• Translating data architecture needs into pipeline design choices
• Applying analytical thinking to complex data modernization challenges
• Mentoring junior team members through delivery tasks and feedback