Palantir Data Engineer

Tekskills Inc.

Bengaluru

Vor Ort

INR 3.000.000 - 6.000.000

Vollzeit

14 Tage+

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Zusammenfassung

Tekskills Inc. seeks a Palantir Data Engineer with 6+ years of experience to join our Hyderabad team. You will design and implement data solutions on the Palantir Foundry platform, building scalable ETL pipelines and modular apps to source and process data.

The role emphasizes Python/PySpark development, data modeling, and performance optimization for large datasets, leveraging Pandas, NumPy, and Spark for efficient processing.

Qualifikationen

  • 6+ years of data engineering experience.
  • Hands-on Palantir Foundry experience.
  • Strong Python and PySpark skills.
  • Experience building ETL pipelines.
  • Proficiency with SQL and data modeling.

Kenntnisse

Palantir Foundry
Foundry Ontology
ETL Pipelines
Python
PySpark
Spark
Pandas
NumPy
SQL
Data Modeling

Jobbeschreibung

Role : Palantir Data Engineer

Experience 6+ yrs

Location - hyderabad

Technical Skills

1. Palantir Platform Expertise

  • Working with Foundry Ontology, pipelines, and modular applications.
  • Implementing End to End data Solutions in Palantir sourcing data from

2. Programming & Scripting (Python and PySpark)

  • Data Processing & Automation: Ability to clean, transform, and process large datasets efficiently.
  • Integration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities.
  • Pipeline Development: Write modular, reusable code for ETL workflows and data transformations.
  • Performance Optimization: Use Python libraries like Pandas, NumPy, and PySpark for scalable data operations.
  • Familiarity with SQL for querying and data modeling. Good to have

3. Data Engineering Fundamentals

  • Building ETL pipelines for ingestion and transformation.
  • Designing data models and optimizing workflows.
  • Handling structured and unstructured data.

4. Big Data & Distributed Systems

  • Experience with Spark (PySpark) for scalable data processing.
  • Understanding of parallel computing and performance tuning.
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