Palantir Developer

2 - 7 years

4 - 8 Lacs

Posted:9 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Educational Requirements

Bachelor of Engineering

Service Line

Data & Analytics Unit

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.

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
  • Technical and Professional 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.

    Preferred Skills:

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

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