Azure Data Engineer + Palantir

1 day ago

Pune, Maharashtra, India Epergne Solutions Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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