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
Job Summary
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.
We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life.
Matching Summary
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.
Skills & Requirements
Must-have
SAP Datasphere expertise
Data pipeline development
Data integration techniques
SQL programming skills
SAP DataSphere connectivity with reporting tools
Nice-to-have
Accepting Feedback
Active Listening
Agile Scalability
Amazon Web Services (AWS)
Analytical Thinking
Apache Airflow
Azure Data Factory
Creativity
Data Anonymization
Data Architecture
Database Optimization
Databricks Unified Data Analytics Platform
Data Engineering Platforms
Data Lake
Data Modeling
Data Pipeline
Key Requirements
3 - 8 Years experience
BE, B.Tech, MCA, M.Tech degree
Functional knowledge of SD, MM, FI modules
Full life cycle SAP DataSphere implementation experience