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Palantir & Pyspark

Diverse Lynx India
  • Location not stated
  • 14 hours ago
  • Foundry
  • Palantir
  • Python
  • PySpark
  • OData
  • ETL
  • Pandas
  • NumPy
  • SQL
  • Data Modeling
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1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning.
Essential Skills: 1.Palantir Platform ExpertiseoWorking with Foundry Ontology| pipelines| and modular applications.oImplementing End to End data Solutions in Palantir sourcing data from 2.Programming & Scripting (Python and PySpark)oData Processing & Automation: Ability to clean| transform| and process large datasets efficiently. oIntegration with Palantir Foundry: Build custom Python functions and libraries to extend Foundrys capabilities. oPipeline Development: Write modular| reusable code for ETL workflows and data transformations. oPerformance Optimization: Use Python libraries like Pandas| NumPy| and PySpark for scalable data operations. oFamiliarity with SQL for querying and data modeling. Good to have3.Data Engineering FundamentalsoBuilding ETL pipelines for ingestion and transformation.oDesigning data models and optimizing workflows.oHandling structured and unstructured data.4.Big Data & Distributed SystemsoExperience with Spark (PySpark) for scalable data processing.oUnderstanding of parallel computing and performance tuning.

Skills: Digital : PySpark~Palantir Core
Experience Required: 6-8

Loc- Bangalore

Palantir & Pyspark · Diverse Lynx India

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