Azure Data Engineer + Palantir

1 week ago

Noida, India Epergne Solutions Full time

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 Foundry to 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 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.
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 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.

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