Software Engineer- AWS -Senior Associate

Overview

Senior Associate role in PwC's Acceleration Center Bangalore building AWS-based data engineering solutions for cloud data modernization, including scalable services and data pipelines within the Cloud Engineering, Data & Analytics practice.

What you'll do

• Develop AWS-based data engineering solutions that support modern data platforms and client delivery workstreams
• Build, test, and maintain data pipelines, data integrations, and transformation logic across cloud environments
• Design scalable data models and warehouse structures that support analytics, reporting, and downstream applications
• Use Apache Airflow, Databricks, Snowflake, and AWS services to orchestrate and optimize data processing workflows
• Troubleshoot performance, data quality, and query issues across databases, pipelines, and data warehouse layers
• Apply data engineering methods to improve data architecture, validation, security, and access patterns
• Translate business and technical requirements into deliverables that align with project scope and delivery timelines
• Review technical work from junior team members and provide guidance on engineering methods and code quality
• Interpret feedback from clients and project leads to refine solutions and address changing priorities
• Contribute to discussions on cloud engineering, data modernization, and product innovation initiatives

What you'll need

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English
• 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 such as Enterprise Data Lake and Data Hub in AWS
• Hands-on experience with Snowflake utilities, SnowSQL, SnowPipe, ETL data pipelines, and big data modeling techniques using Python or Java
• Experience loading disparate data sets and translating complex functional and technical requirements into detailed design
• Awareness of deploying Snowflake features such as data sharing, events and lake-house patterns
• Experience with data security and data access controls and design
• Deep understanding of relational and NoSQL data stores, methods and approaches (star and snowflake, dimensional modeling)
• Proficiency in Lambda and Kappa Architectures
• Strong AWS hands-on expertise with a programming background, preferably Python or Scala
• Good knowledge of Big Data frameworks and related technologies
• Experience in Hadoop and Spark (mandatory)
• Strong experience in AWS compute services such as EMR, Glue and SageMaker, and storage services such as S3, Redshift and DynamoDB
• Good experience with at least one AWS streaming service such as Kinesis, SQS or MSK
• Troubleshooting and performance tuning experience in Spark (Spark core, SQL and Spark Streaming)
• Experience with one flow tool such as Airflow, NiFi or Luigi
• Good knowledge of application DevOps tools (Git, CI/CD frameworks)
• Experience with Jenkins or GitLab, and source code management with CodePipeline, CodeBuild and CodeCommit
• Experience with AWS CloudWatch, AWS CloudTrail, AWS Config and AWS Config Rules

Nice to have

• Preference for at least one of these 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

Details

• Location: Bangalore