PwC_Hiring For Palantir_All level_Pan India

Responsibilities:

• JD Palantir Foundry
• • 3+ years of experience in implementing analytical solutions using Palantir Foundry.
• • preferably in PySpark and hyperscaler platforms (cloud services like AWS, GCP and Azure) with focus on building data transformation pipelines at scale.
• • Team management: Must have experience in mentoring and managing large teams (20 to 30 people) for complex engineering programs. Candidate should have experience in hiring and nurturing talent in Palantir Foundry.
• • Training: candidate should have experience in creating training programs in Foundry and delivering the same in a hands-on format either offline or virtually.
• • At least 3 years of hands-on experience of building and managing Ontologies on Palantir Foundry.
• • At least 3 years of experience with Foundry services:
• • Data Engineering with Contour and Fusion
• • Dashboarding, and report development using Quiver (or Reports)
• • Application development using Workshop.
• • Exposure to Map and Vertex is a plus
• • Palantir AIP experience will be a plus
• • Hands-on experience in data engineering and building data pipelines (Code/No Code) for ELT/ETL data migration, data refinement and data quality checks on Palantir Foundry.
• • Hands-on experience of managing data life cycle on at least one hyperscaler platform (AWS, GCP, Azure) using managed services or containerized deployments for data pipelines is necessary.
• • Hands-on experience in working & building on Ontology (esp. demonstrable experience in building Semantic relationships).
• • Proficiency in SQL, Python and PySpark. Demonstrable ability to write & optimize SQL and spark jobs. Some experience in Apache Kafka and Airflow is a prerequisite as well.