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.
Those in intelligent automation at PwC will focus on conducting process mining, designing next generation automation solutions, and implementing intelligent process automation to help clients achieve operational efficiencies and reduce costs.
PwC offers a purpose-led and values-driven work environment powered by technology that supports wellbeing, inclusivity, mentorship, and innovation.
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
Python automation development
Pandas library for data manipulation
Strong SQL skills
CI/CD and Git workflows
Linux environment deployment
RESTful APIs and JSON knowledge
Nice-to-have
Experience with AI/ML technologies
Familiarity with cloud platforms
Containerization with Docker/Kubernetes
Proactive technology adoption
Excellent communication skills
Problem-solving skills
Key Requirements
2-3 years Python automation experience
Bachelor’s or Master’s in Computer Science or related fields
Experience with AI/ML technologies
Familiarity with cloud platforms AWS, Azure, Google Cloud
Experience with containerization Docker/Kubernetes