Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
OperationsManagement Level
AssociateJob Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.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
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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. "
Role Description
PWC India is seeking a highly skilled Azure Data Engineer with 6 + years of experience to join our team and play a key role in designing, developing, and implementing efficient data solutions on the Azure cloud platform. The ideal candidate should have a strong foundation in data engineering, hands-on expertise with Azure services, solid proficiency in data processing technologies, especially PySpark, and a good understanding of AI-enabled data engineering components that support modern analytics and automation use cases.
Responsibilities
Data Pipeline Development
Design, build, and optimize end-to-end data pipelines on Azure with a focus on scalability, reliability, and performance.
Develop and maintain ETL/ELT workflows to support seamless data ingestion and processing.
Azure Cloud Expertise
Utilize Azure services such as Azure Data Factory, Azure SQL Database, and Azure Databricks to deliver effective data engineering solutions.
Implement and manage scalable data storage solutions on Azure.
Data Transformation with PySpark
Leverage PySpark for advanced data transformation and processing to ensure high-quality, well-structured outputs.
Implement data cleansing, enrichment, and validation processes using PySpark.
AI-Enabled Data Engineering
Support AI and analytics use cases by preparing, transforming, and curating high-quality datasets for downstream consumption.
Work with modern Azure and Databricks capabilities to enable AI/ML data pipelines, metadata-driven processing, and intelligent automation where applicable.
Collaborate with analytics and data science teams to support model-ready data preparation and scalable feature pipelines.
Performance Optimization
Optimize data pipelines, SQL queries, and PySpark jobs to improve overall performance and scalability.
Identify and resolve performance bottlenecks across data processing workflows.
Mandatory skill sets:
Proven experience as a Data Engineer, with strong expertise in Azure-based data solutions.
Hands-on experience with Azure Data Factory and other relevant Azure services.
Strong proficiency in PySpark for data processing and analytics is mandatory.
Experience in data modeling, ETL/ELT processes, and data warehousing.
Exposure to AI/ML data preparation, feature engineering pipelines, or AI-enabled data platforms is preferred.
Primary Skill sets:
Azure Data Factory
PySpark
Azure Databricks
Azure SQL Database
Data Modeling and Data Warehousing
AI/ML Data Preparation
Metadata-Driven Data Engineering
Years of experience required:
4 -8 Years
Education qualification:
Btech BE
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Data EngineeringOptional Skills
Acceptance Test Driven Development (ATDD), Acceptance Test Driven Development (ATDD), Accepting Feedback, Active Listening, Android Operating Systems, API Management, Appian (Platform), Application Development, Application Frameworks, Application Lifecycle Management, Application Software, Business Process Improvement, Business Process Management (BPM), Business Requirements Analysis, C#.NET, C++ Programming Language, Client Management, Code Review, Coding Standards, Communication, Computer Engineering, Computer Science, Continuous Integration/Continuous Delivery (CI/CD), Debugging, Emotional Regulation {+ 41 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
June 15, 2026