Palantir Data Engineer

4 - 9 years

10 - 20 Lacs

Posted:1 week ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Data Engineer-Palantir -

Role

Palantir Data Engineers

No of years experience - Total 5+ year (Relevant Palantir experience 3+ years)

Mandatory Skills

Palantir skill

Work Location - India - Hybrid

Job Title: Palantir Foundry Data Engineer

The Role

Palantir Foundry

What You’ll Do

  • Data Integration & Modeling

    : Ingest and transform data from diverse sources (e.g., APIs, databases, flat files, streaming systems) into structured, queryable formats using Palantir’s tools and custom code.
  • Pipeline Development

    : Build scalable, fault-tolerant ETL/ELT pipelines using technologies such as PySpark, SQL, and Palantir’s proprietary tools like

    Foundry’s Code Repositories

    and

    Pipeline Builder

    .
  • Customer Collaboration

    : Work closely with clients to understand their data landscape, identify integration challenges, and deliver tailored solutions that meet their operational and analytical needs.
  • Data Quality & Governance

    : Implement validation checks, monitoring, and documentation to ensure data integrity, traceability, and compliance with security and privacy standards.
  • Cross-functional Impact

    : Partner with deployment strategists, software engineers, and product designers to shape how data is used across applications and decision-making workflows.
  • Object Management

    : Create the Ontology Objects, Links and actions which allow the maintenance of the data by the downstream applications.
  • Palantir Tool Knowledge

    : Hands On experience with Code repositories, Pipeline Builders, Code workbook, Data health, Data Connections, Egress policies, Ontology Management, Contour, Solution designer & Data Lineage.

What We’re Looking For

  • Technical Proficiency

    : Strong coding skills in Python, Java, or Scala, and deep experience with SQL. Familiarity with distributed data processing frameworks (e.g., Spark, Flink) is a plus.
  • Data Architecture Knowledge

    : Understanding of data warehousing, data lakes, schema design, and performance optimization.
  • Problem Solving

    : Ability to break down complex data problems and design elegant, scalable solutions.
  • Communication Skills

    : Comfortable engaging with both technical and non-technical stakeholders. You can explain data concepts clearly and advocate for best practices.
  • Adaptability

    : Thrive in fast-paced, ambiguous environments. You’re comfortable learning new tools and technologies on the fly.

Preferred Qualifications

  • Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Familiarity with Palantir Foundry.
  • Background in a domain such as Oil & gas, finance, healthcare, logistics, or defence is a plus.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

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