Senior Application Developer Palantir Foundry

8 hours ago


Chennai India JUARA IT SOLUTIONS Full time

Job Description Job Title: Senior Application Developer Palantir Foundry & AWS Experience: 1014 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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