IN_ Associate_Palantir_D&A_Advisory_Mumbai

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage. Job Position Title: IN_ Associate_Palantir_D&A_Advisory_Mumbai Responsibilities: 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. Mandatory skill sets: Palantir Preferred skill sets: Pyspark Years of experience required: 2-4 Years Education qualification: B.E/B.Tech/MBA/M.E/M.Tech

• Experience: 3+ years
• Seniority: Mid Level
• Education: Bachelor's degree preferred
• Languages: English