Educational RequirementsBachelor of Engineering,BCom,BBA

Service Line Data Analytics Unit

Responsibilities

- 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
- Valuable 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:

- Palantir
- Bigdata
- Pyspark

Preferred Skills:

- Technology->Data Engineering->Palantir Foundry

📌 Palantir Foundry Developer (Bengaluru)
🏢 Infosys
📍 Bengaluru