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.