JD – Associate/Senior Associate_ Palantir Foundary_Pan India

Work Location: Pan India

Years of experience: 2+ years

Level: Associate/Senior Associate

Notice Period-Open (Prefered Immediate Joiner's)

Skill Set- Palantir/Pyspark

Job Description:

Key Responsibilities:

JD – Palantir Foundry

· 2+ 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 2 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.