In_senior Associate_palantir_data And Analytics_advisory_bangalore
Jobs Ta Pwc
Bangalore, India
Palantir foundry implementation
Data transformation pipelines at scale
Building and managing ontologies
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals
Job Summary
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals.
Focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients, developing and implementing innovative solutions to optimize business performance.
PwC offers a vibrant community of solvers, purpose-led and values-driven work, powered by technology in an environment that drives innovation, with rewards, wellbeing support, and inclusive benefits.
Matching Summary
Leverage data to drive insights and make informed business decisions using advanced analytics techniques to help clients optimize operations and achieve strategic goals.
Skills & Requirements
Must-have
Palantir Foundry implementation
Data transformation pipelines at scale
Building and managing Ontologies
Data Engineering with Contour and Fusion
Dashboarding using Quiver
Application development using Workshop
Data lifecycle management on hyperscaler
Nice-to-have
Mentoring and managing large teams
Hiring and nurturing talent
Creating and delivering training programs
Exposure to Map and Vertex
Palantir AIP experience
MLOps experience
Opensource contributions on GitHub
Graph data and analysis experience
Palantir Foundry Certification
Developing GenAI applications
Key Requirements
3+ years of experience in 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 (Data Engineering, Dashboarding, Application development)
Hands-on experience in data engineering and building data pipelines on Palantir Foundry
Hands-on experience managing data life cycle on hyperscaler platform
Proficiency in SQL, Python and PySpark
Experience with Apache Kafka and Airflow
Hands-on experience on DevOps on hyperscaler platforms and Palantir Foundry
Experience in developing and managing scalable architecture
Bachelor's degree in computer science, data science or engineering