Senior Application Developer Palantir Foundry
2 weeks ago
Job Title:Senior Application Developer – Palantir Foundry & AWS
Experience: 10–14 Years
Work Type: Full-time
Location: Chennai / Remote
Job Summary
We are looking for a highly skilled AWS & Palantir Foundry Application Developer with strong hands-on experience in building end-to-end data applications, operational workflows, analytics pipelines, and user-facing Foundry applications. The ideal candidate will have deep expertise in Palantir Foundry along with modern AWS cloud-native development, focusing on performance, scalability, security, and automation.
Key Responsibilities
1. Palantir Foundry Development
- Develop and deploy workflows using Code Repositories, Foundry Ontology/Object Models, Transformations (PySpark, SQL, Python), Quiver & Contour.
- Build and maintain operational workflows and user-facing applications within Foundry.
- Manage data lineage, versioning, cataloging, and ensure governance and compliance standards.
2. AWS Cloud Development
- Integrate Palantir Foundry with AWS services such as S3, Lambda, Glue, IAM, API Gateway, Athena.
- Develop secure and scalable cloud-native architectures following the AWS Well-Architected Framework.
- Optimize Spark compute performance, job schedules, and resource utilization.
3. Data Engineering
- Design and build robust ETL/ELT pipelines using PySpark and SQL.
- Work with structured and semi-structured datasets (CSV, Parquet, JSON, etc.).
- Implement automated data quality checks, validation processes, and error-handling workflows.
4. DevOps & CI/CD
- Use Git and Foundry CI/CD pipelines to automate deployments.
- Work with AWS DevOps tools such as CodePipeline, CodeCommit, CodeBuild.
- Implement test automation, validation checks, and monitoring for data jobs and applications.
Required Technical Skills
- Mandatory: Strong, hands-on experience in Palantir Foundry (Transformations, Applications, Ontology, Pipelines).
- Programming: Python, SQL, PySpark
- Cloud: AWS (S3, Lambda, Glue, IAM)
- Tools: Git, Docker (optional)
- Core Concepts: Data engineering, APIs, distributed systems, CI/CD, cloud security.
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