At PwC, data and analytics engineering focuses on leveraging advanced technologies and techniques to design and develop robust data solutions for clients, transforming raw data into actionable insights, enabling informed decision-making and driving business growth.
Requirements
- Foundry Data Engineer, Solution Architect, or Application Developer
- Familiarity with Python and/or Typescript
- Experience with Palantir Foundry and AIP
Responsibilities
- designing and building data infrastructure and systems to enable efficient data processing and analysis
- developing and implementing data pipelines, data integration, and data transformation solutions
- Lead the development and deployment of data solutions using Palantir Foundry
- Utilize proficiency in data engineering and analytics to drive client benefits
- Implement and uphold the firm's methodologies and technology resources
- Encourage innovation and embrace new technologies within the team
- Building applications with large datasets
Other
- Enhancing your leadership style, you motivate, develop and inspire others to deliver quality.
- You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations.
- With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm.
- You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
- Bachelor's Degree in Management Information Systems, Computer and Information Science, Systems Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics
- 5 years of experience
- Excelling in customer-centric solutions
