INInfosys Limited
Palantir Foundry Developer
Bangalore Posted 5 Oct 2026
FULL TIME
Data Modeling
Etl
Data Quality
Data Governance
Rest Apis
+5 more
Job Description
Job Overview:
- We are in search of a talented Palantir Foundry Developer with 2 to 5 years of expertise in the design, development, and maintenance of data solutions utilizing the Palantir Foundry platform.
- The successful candidate will have a robust foundation in data engineering, along with experience in constructing data pipelines, data models, analytics applications, and operational workflows.
- This position requires collaboration with business stakeholders, data architects, and engineering teams to produce scalable, high-quality data products and insights.
Primary Responsibilities:
- Design, develop, and maintain data integration and transformation pipelines on the Palantir Foundry platform.
- Create and uphold Ontology models, data workflows, and operational applications within Foundry.
- Develop reusable data assets, data products, and business applications to aid analytics and decision-making processes.
- Engage with stakeholders to collect requirements and convert business needs into technical solutions.
- Implement data quality checks, monitoring, and governance standards throughout data pipelines.
- Enhance pipeline performance and address data processing challenges.
- Collaborate closely with data engineers, architects, and business teams to ensure effective project execution.
- Assist in the deployment, testing, and maintenance of solutions based on Foundry.
- Produce technical documentation, process workflows, and materials for knowledge sharing.
- Adhere to Agile development methodologies and take part in sprint planning, reviews, and retrospectives.
Technical Qualifications:
- Practical experience with the Palantir Foundry platform.
- Solid comprehension of Data Pipeline development and Data Modeling.
- Familiarity with Foundry Ontology, Code Repositories, Workshop, and Pipeline Builder.
- Proficient in Python and SQL.
- Experience with ETL and ELT processes as well as large-scale data transformation.
- Understanding of data governance, data lineage, and data quality principles.
- Experience with REST APIs and external data integrations.
- Strong analytical abilities and problem-solving skills.
