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Palantir foundry expertise
Data engineering on hyperscaler platforms
Building and managing ontologies
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions
Job Summary
At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions.
You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
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 focus on leveraging data to drive insights and make informed business decisions.
Skills & Requirements
Must-have
Palantir Foundry expertise
Data engineering on hyperscaler platforms
Building and managing Ontologies
Team management of large engineering teams
Proficiency in SQL, Python and PySpark
DevOps on hyperscaler platforms and Foundry
Nice-to-have
Experience with Map and Vertex
Palantir AIP experience
MLOps experience
Open source contributions on GitHub or Kaggle
Graph data and graph analysis libraries
Palantir Foundry Certification
GenAI application development
Creating and delivering training programs
Mentoring and nurturing talent
Key Requirements
10+ years experience (4+ years relevant)
Bachelor's degree in computer science, data science or engineering
At least 3 years hands-on with Palantir Foundry Ontologies
At least 3 years experience with Foundry services
Experience managing teams of 20 to 30 people
Experience with Apache Kafka and Airflow
Experience building data pipelines for ELT/ETL
Experience in managing data lifecycle on hyperscaler platforms