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 proficient Palantir Foundry Developer with 2 to 5 years of experience in the design, development, and maintenance of data solutions utilizing the Palantir Foundry platform.
- The successful candidate will have a solid foundation in data engineering and experience in creating data pipelines, data models, analytical applications, and operational workflows.
- This position requires collaboration with business stakeholders, data architects, and engineering teams to produce scalable and high-quality data products and insights.
Core Responsibilities:
- Design, develop, and maintain data integration and transformation pipelines on the Palantir Foundry platform.
- Create and manage Ontology models, data workflows, and operational applications within the Foundry environment.
- Develop reusable data assets, data products, and business applications to facilitate analytics and informed decision-making.
- Engage with stakeholders to gather requirements and convert business needs into technical solutions.
- Establish data quality checks, monitoring, and governance standards across all data pipelines.
- Enhance pipeline performance and resolve data processing challenges.
- Collaborate closely with data engineers, architects, and business teams to ensure the successful delivery of projects.
- Assist in the deployment, testing, and maintenance of solutions based on Foundry.
- Generate 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:
- 2 to 3 years of experience in Data Engineering or Analytics.
- Practical experience with the Palantir Foundry platform.
- Strong knowledge of Data Pipeline development and Data Modeling.
- Familiarity with Foundry Ontology, Code Repositories, Workshop, and Pipeline Builder.
- Proficiency in Python and SQL.
- Experience with ETL and ELT processes, along with large-scale data transformation.
- Understanding of data governance, data lineage, and data quality principles.
- Experience with REST APIs and external data integrations.
- Exceptional analytical and problem-solving abilities.
