Key Responsibilities
Ingest, clean, transform, and enrich data for use in Palantir Foundry.
Design and implement scalable data pipelines to manage data flow within Foundry.
Develop and maintain data ontology for effective data modeling and interpretation.
Integrate diverse data sources using Palantir’s data connectors.
Collaborate with cross-functional teams to gather business requirements and deliver Foundry-based solutions.
Troubleshoot and resolve data quality, access, and performance issues.
Contribute to application development and analytics solutions using Foundry tools.
Apply data analytics and ML techniques for insight generation.
Promote best practices and foster knowledge sharing on big data technologies across the organization.
Must-Have Skills
Proficiency in Python and PySpark (minimum 4 years).
Strong experience with SQL, BI tools, and data analysis.
Hands-on experience with Palantir tools:
Data Connection, Ontology, Code Workbook/Repository,
Contour, Quiver, Workshop, Slate.
Desirable Qualities
Proficient in English (verbal and written communication).
Robust problem-solving and creative thinking skills.
Ability to produce transparent and useful documentation for technical and business teams.
Encourages cross-team knowledge sharing.
Team-oriented team player with the ability to tackle complex technical and business issues.
Required Skills for Palantir Data Engineer Job
Palantir
Pyspark, BI tools
SQL queries
Our Hiring Process
Screening (HR Round)
Technical Round 1
Technical Round 2
Final HR Round
📌 Palantir Data Engineer Thane (India)
🏢 Phygital Insights
📍 India
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.