Azure Data Engineer Palantir

Job Role: -Azure Data Engineer + Palantir

Job Location: Noida/Gurgaon/Hyderabad/Bangalore/Pune

Experience :- 5+ Years

We are seeking experienced Azure Data Engineers with hands-on expertise in Palantir Foundryto architect, build, and optimize large-scale data integration pipelines and analytical models for enterprise-scale deployments.

Azure Data Engineering:

• Design and develop robust data pipelines using Azure Databricks, Azure Data Factory, and PySpark.
• Implement scalable ETL solutions leveraging Python and SQL for data ingestion, transformation, and loading.
• Build and maintain data models and workflows within a modern Azure data stack environment.
• Drive automation and orchestration of data pipelines, ensuring performance, scalability, and reliability.

Palantir Foundry Platform:

• Design and develop data integration workflows, connecting to multiple source types and managing data pipelines using Python transforms, Foundry code repositories, and metadata-driven architecture.
• Implement model integration workflows including logic modeling, templated reports, and operational analytics using Foundry?s platform tools.
• Configure and manage Ontology Manager, defining object types, object views, user actions, business functions, and permissions to structure enterprise-wide data semantics.
• Build custom Foundry applications using Workshop, writeback pipelines, and advanced actions to drive operational decision-making.
• Implement data security and governance frameworks using Foundry?s Data Foundation and AIP (Access and Identity Permissions), including restricted access and view controls.

Collaboration and Communication:

• Collaborate across data, engineering, and product teams to implement analytical use cases using Foundry?s platform modules.
• Translate business requirements into scalable technical solutions using agile methodologies and continuous delivery practices.
• Demonstrate strong communication skills to present technical solutions to stakeholders and cross-functional teams.

• 5+ years of professional experience in Azure data engineering, including hands-on work with Python, SQL, PySpark, Azure Databricks, and Azure Data Factory.
• Proven experience with Palantir Foundry, including data integration, model building, and application development.
• Deep understanding of Foundry?s ontology-based data modeling, security frameworks, and application modules.
• Strong understanding of data governance, access control, and operational analytics within enterprise data environments.
• Ability to work in agile development teams, contribute to design discussions, and participate in sprint planning and code reviews.
• Excellent communication, problem-solving, and analytical skills.