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6-12 Years
₹ 7.5 - 15 LPA
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  • Posted 6 days ago
  • Over 100 applicants have applied

Job Description

Exp : 6 to 12 Yrs

Location : Pan India

NP : Immediate to 30 Days

Primary skill is Palantir + Foundry + Ontology + Workshop 

Job Summary

     Seeking a skilled Data Engineer proficient in Palantir SQL Python Spark and Hadoop to design and optimize scalable data solutions within Palantir Foundry environment

    Job Description          

      Must have strong knowledge of SQL Python Spark and Hadoop

Experience with Python Spark and TypeScript for data processing and application development

Optimize performance of data transformations and analytical queries

Collaborate with crossfunctional teams to understand business requirements and translate them into effective data solutions

Work hours from 0200 PM IST to 1130 PM IST

Familiarity with designing and implementing scalable data pipelines and workflows using Palantir Foundry

Working knowledge of Palantir modules such as Contour Quiver Vertex and app development

Develop and maintain data models ontology layers and operational dashboards

Ensure data quality integrity and governance across all Palantirbased solutions

Stay updated with Palantir platform updates and best practices

Desired skills include Workshop level 4 Quiver level 4 AIP level 3 Pipeline Builder level 3 Code Repository level 3 PySpark level 3 and Ontology level 3

    Roles and Responsibilities      

   

      Design develop and optimize scalable data pipelines and workflows

Collaborate with stakeholders to gather and analyze business requirements

Translate business needs into technical data solutions leveraging Palantir Foundry

Maintain and enhance data models ontology layers and dashboards to support analytics

Monitor and improve data quality integrity and governance standards

Utilize modules like Contour Quiver and Vertex for application development

Participate in code repository management and pipeline building activities

Continuously update skills and knowledge on Palantir platform features and best practices

Work effectively within the specified IST shift timings

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Siddhartha Kumar

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