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 on the lookout for an experienced Palantir Foundry Developer, ideally with 2 to 5 years of expertise in the design, development, and maintenance of data solutions utilizing the Palantir Foundry platform.
- The perfect candidate will have a solid foundation in data engineering and a proven track record in crafting data pipelines, data models, analytical 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.
Core Responsibilities:
- Design, develop, and maintain data integration and transformation pipelines utilizing the Palantir Foundry platform.
- Construct and uphold Ontology models, data workflows, and operational applications within the Foundry environment.
- Create reusable data assets, data products, and business applications to facilitate analytics and informed decision-making.
- Collaborate 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.
- Engage closely with data engineers, architects, and business teams to guarantee successful project execution.
- Assist in the deployment, testing, and maintenance of Foundry-based solutions.
- 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:
- Hands-on experience with the Palantir Foundry platform.
- A robust understanding of Data Pipeline development and Data Modeling.
- Experience with Foundry Ontology, Code Repositories, Workshop, and Pipeline Builder.
- Proficiency in Python and SQL programming languages.
- Experience with ETL and ELT processes, as well as large-scale data transformation.
- Familiarity with data governance, data lineage, and data quality principles.
- Experience in working with REST APIs and integrating external data sources.
- Strong analytical capabilities and problem-solving skills.
