Line of Service Advisory

Industry/Sector Not Applicable

Specialism Data, Analytics AI

Management Level Senior Associate

Job Description 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.

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.

Responsibilities:

Experience: 3-6 years of relevant experience in Palantir. Education Qualification: Not specified, but candidates with formal education in data management, computer science, or related fields are preferred. Certifications: While not mandatory, certifications related to Scrum will be an advantage.

Mandatory skill sets: SCM

Preferred skill sets: Supply chain

Years of experience required: 2+ Years

Education qualification: Advanced degree (in Computer Science, Artificial Intelligence, Data Science, or related discipline).

Education Degrees/Field of Study required: Master Degree, Bachelor Degree

Certifications Certifications not specified

Required Skills SCM

Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}

Travel Requirements Not Specified

Available for Work Visa Sponsorship No

Government Clearance Required No