Senior Application Developer Palantir Foundry & AWS

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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