IN-Senior Associate_Azure Data Engineer_Data & Analytics_Advisory_PAN India
PwCKolkata, West Bengal, India
Posted March 11, 2026
Full Time
About the Company
PwC aims to build societal trust and resolve critical issues, offering quality assurance, advisory, and tax services.
Job Description
At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Requirements
- Analyses current business practices, processes, and procedures as well as identifying future business opportunities for leveraging Microsoft Azure Data & Analytics Services.
- Provide technical leadership and thought leadership as a senior member of the Analytics Practice in areas such as data access & ingestion, data processing, data integration, data modeling, database design & implementation, data visualization, and advanced analytics.
- Engage and collaborate with customers to understand business requirements/use cases and translate them into detailed technical specifications.
- Develop best practices including reusable code, libraries, patterns, and consumable frameworks for cloud-based data warehousing and ETL.
- Maintain best practice standards for the development or cloud-based data warehouse solutioning including naming standards.
- Designing and implementing highly performant data pipelines from multiple sources using Apache Spark and/or Azure Databricks
- Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained
- Working with other members of the project team to support delivery of additional project components (API interfaces)
- Evaluating the performance and applicability of multiple tools against customer requirements
- Working within an Agile delivery / DevOps methodology to deliver proof of concept and production implementation in iterative sprints.
- Integrate Databricks with other technologies (Ingestion tools, Visualization tools).
Benefits
- Flexible working hours
- Inclusive benefits
- Wellbeing support
