Azure Data Engineer + Palantir

11 hours ago

Noida, Uttar Pradesh, India Epergne Solutions Full time
Job Description

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.

Core Responsibilities:

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 Foundrys 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 Foundrys 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 Foundrys 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.

Qualifications:

- 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 Foundrys 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.

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