Leverage data and analytics to provide strategic insights and drive informed decision-making for clients, developing and implementing innovative solutions to optimize business performance
Job Summary
Leverage data and analytics to provide strategic insights and drive informed decision-making for clients, developing and implementing innovative solutions to optimize business performance.
Implement analytical solutions using Palantir Foundry, preferably in PySpark and hyperscaler platforms, focusing on building data transformation pipelines at scale.
PwC offers a purpose-led and values-driven work environment powered by technology, enabling tangible impact and rewarding contributions with support for wellbeing, flexibility, and mentorship.
Matching Summary
Leverage data and analytics to provide strategic insights and drive informed decision-making for clients, developing and implementing innovative solutions to optimize business performance.
Skills & Requirements
Must-have
Palantir Foundry implementation
building data transformation pipelines
managing Ontologies on Palantir Foundry
Data Engineering with Contour and Fusion
Dashboarding using Quiver
Application development using Workshop
data engineering and building data pipelines
managing data life cycle on hyperscaler
Proficiency in SQL, Python and PySpark
DevOps on hyperscaler platforms and Palantir Foundry
Nice-to-have
mentoring and managing large teams
creating training programs in Foundry
Exposure to Map and Vertex
Palantir AIP experience
MLOps experience
scalable architecture development
Graph data and graph analysis
Palantir Foundry Certification
developing GenAI application
Key Requirements
3+ years of experience implementing analytical solutions using Palantir Foundry
3+ years of hands-on experience building and managing Ontologies on Palantir Foundry
3+ years of experience with Foundry services
10+ years of experience (4+ years relevant)
Bachelor's degree in computer science, data science or any other Engineering discipline