Data Engineer - Senior Associate

Overview

Data Engineer - Senior Associate role within PwC Acceleration Center Bangalore's Cloud Engineering, Data & Analytics practice, supporting the design and delivery of data engineering solutions that help clients manage, transform, and activate data for business use.

What you'll do

• Develop and maintain data pipelines across cloud and analytics platforms to support modernization initiatives
• Design data integration, transformation, and validation processes for reliable reporting and downstream use
• Build scalable data models and warehouse structures that support complex business and technical requirements
• Automate orchestration workflows using Apache Airflow, Azure Data Factory, or similar tooling
• Optimize query performance, storage patterns, and database operations across Snowflake, Databricks, and other platforms
• Collaborate with client teams to translate data requirements into technical designs and implementation plans
• Troubleshoot data quality, pipeline, and platform issues, identifying root causes and corrective actions
• Review deliverables from junior team members and provide guidance on technical approach and work product
• Apply data architecture, security, and anonymization practices within enterprise data environments
• Contribute to modernization efforts by evaluating emerging tools, methods, and platform capabilities

What you'll need

• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English
• Minimum 3 years of hands-on experience building applications with Python
• Solid understanding of designing and architecting scalable Python applications, particularly for Gen AI use cases, including component and systems architecture patterns for cohesive, decoupled, scalable applications
• Familiarity with Python web frameworks (Flask, FastAPI) for building web applications around AI models
• Demonstrated ability to design applications with modularity, reusability, and security best practices in mind (session management, vulnerability prevention, etc.)
• Familiarity with cloud-native development patterns and tools (e.g., REST APIs, microservices, serverless functions)
• Experience deploying and managing containerized applications on Azure/AWS (Azure Kubernetes Service, Azure Container Instances, or similar)
• Strong proficiency in Git for code collaboration and management
• Knowledge of continuous integration and deployment (CI/CD) practices on cloud platforms
• 3-5 years of relevant technical/technology experience, with a focus on GenAI projects
• Strong programming skills in Python
• Experience with data processing frameworks like Apache Spark or similar
• Proficiency in SQL and database management systems

Nice to have

• 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
• Coursework or internship exposure in data engineering
• Utilizing Databricks, Snowflake, or Azure Data Factory
• Applying Apache Airflow, data pipelines, or data transformation concepts
• Interpreting data quality, data modeling, and query optimization needs
• Navigating client-facing workstreams with changing technical requirements

Details

• Location: Bangalore (PwC Acceleration Center Bangalore)
• Management level: Senior Associate