At PwC, data and analytics engineers leverage advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients
Job Summary
At PwC, data and analytics engineers leverage advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients.
In this role, you will focus on designing and building data infrastructure and systems, developing and implementing data pipelines, data integration, and data transformation solutions.
Key responsibilities include designing and implementing scalable data pipelines using Microsoft Fabric components, building and managing lakehouses/warehouses in OneLake, and supporting Power BI semantic models.
Matching Summary
At PwC, data and analytics engineers leverage advanced technologies to design and develop robust data solutions, transforming raw data into actionable insights for clients.
Skills & Requirements
Must-have
Microsoft Fabric components
Microsoft OneLake
PySpark notebooks
Data quality and lineage
CI/CD pipelines
Data integration from diverse sources
Nice-to-have
Agile Scalability
Analytical Thinking
Communication
Creativity
Database Optimization
Data Governance Understanding
Key Requirements
8+ years of experience in Data & Analytics
Bachelor's or Master's degree
Proficiency in SQL, PySpark, and Power BI
Experience with Microsoft OneLake, Data Factory, Synapse Engineering
Familiarity with DataOps and Git
Understanding of data modeling and performance optimization