Key Facts

Remote From:

India

Full time

Senior (5-10 years)

Hard Skills

Roles & Responsibilities

Strong hands-on experience in Palantir Foundry (Transformations, Applications, Ontology, Pipelines)
Programming: Python, SQL, PySpark
AWS cloud experience including S3, Lambda, Glue, IAM
Experience with Git and Foundry CI/CD pipelines (DevOps practices)

Requirements:

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 governance/compliance
AWS Cloud development: integrate Palantir Foundry with AWS services (S3, Lambda, Glue, IAM); develop secure and scalable cloud-native architectures following AWS Well-Architected Framework; optimize Spark compute performance, job schedules, and resource utilization
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 and error-handling workflows
DevOps and CI/CD: use Git and Foundry CI/CD pipelines to automate deployments; work with AWS CodePipeline, CodeCommit, CodeBuild; implement test automation, validation checks, and monitoring for data jobs and applications

Job description

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.