Software Engineer- AWS -Senior Associate

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

Work arrangement
No