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Palantir Developer

0 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Skills Required

Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities:

  • Team Management Lead and manage a team of technical professionals Data Engineer and Application Developers ensuring effective collaboration and productivity
  • Client Interaction Serve as the primary point of contact for clients understanding their needs and ensuring successful project delivery
  • Status Reporting Prepare and present detailed status reports on ongoing projects to stakeholders highlighting progress risks and mitigation plans
  • Issue Resolution Proactively identify and resolve any technical challenges or roadblocks faced by the team ensuring smooth project execution
  • Project Management Oversee the entire project lifecycle from planning to execution ensuring timely delivery within scope and budget

Technical Requirements:

  • In depth knowledge of the Palantir Foundry platform including data integration Data Connections Data Transformation Code Repository Pipeline Builder analysis Contour and Quiver visualization Workshop and Ontology Manager
  • Must also have a good knowledge of Spark PySpark TypeScript
  • Knowledge on AIP is an added advantage

Additional Responsibilities:

  • Ability to develop value creating strategies and models that enable clients to innovate drive growth and increase their business profitability
  • Good knowledge on software configuration management systems
  • Awareness of latest technologies and Industry trends
  • Logical thinking and problem solving skills along with an ability to collaborate
  • Understanding of the financial processes for various types of projects and the various pricing models available
  • Ability to assess the current processes identify improvement areas and suggest the technology solutions
  • One or two industry domain knowledge
  • Client Interfacing skills
  • Project and Team management

Preferred Skills:

Technology->Analytics - Packages->Python - Big Data,Technology->Big Data - Data Processing->Spark

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