In_senior Associate_palantir_data And Analytics_advisory_mumbai

Pwpoland

Palantir foundry implementation experience
Building data transformation pipelines at scale
Team management and mentoring experience
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 implementation experience
  • Building data transformation pipelines at scale
  • Team management and mentoring experience
  • Building and managing Ontologies on Palantir Foundry
  • Data engineering with Contour and Fusion
  • Dashboarding and report development using Quiver
  • Proficiency in SQL, Python and PySpark

Nice-to-have

  • Experience with hyperscaler platforms AWS, GCP, Azure
  • Experience with Map and Vertex
  • Palantir AIP experience
  • Experience in MLOps
  • Open source contributions on GitHub or Kaggle
  • Experience with graph data and analysis libraries
  • Palantir Foundry Certification
  • Experience developing GenAI applications
  • Strong communication and collaboration skills
  • Creativity and continuous process improvement mindset
  • Embracing change and emotional regulation

Key Requirements

  • 10+ years of experience (4+ years relevant)
  • At least 3 years hands-on with Palantir Foundry Ontologies
  • At least 3 years experience with Foundry services
  • Bachelor's degree in computer science, data science or engineering
  • Experience managing large teams (20-30 people)
  • Experience creating and delivering training programs
  • Proficiency in SQL, Python, PySpark
  • Experience with Apache Kafka and Airflow
  • Experience with DevOps on hyperscaler platforms
  • Palantir Foundry Certification preferred

Work Rights

Not specified

Tailored Resume

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