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.
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.
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
Hands-on experience in SAP Datasphere
Data pipeline development and integration
SQL programming skills
SAP Datasphere connectivity with reporting tools
Data extraction using standard or custom methods
Knowledge of SAP modules SD, MM, FI
Nice-to-have
Accepting Feedback
Active Listening
Agile Scalability
Amazon Web Services (AWS)
Analytical Thinking
Apache Airflow
Azure Data Factory
Communication
Creativity
Data Architecture
Database Security Best Practices
Databricks Unified Data Analytics Platform
Data Engineering Platforms
Data Lake
Data Modeling
Data Pipeline
Key Requirements
3 - 8 years experience
Bachelor of Engineering or Bachelor of Technology or MCA or M.Tech
Functional knowledge of SAP modules SD, MM, FI
Experience in full life cycle SAP Datasphere implementation