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12 hours ago
We are seeking a highly skilled Data Engineer with expertise in Palantir Foundry to support critical data integration and application development initiatives. The ideal candidate will have a strong foundation in Python, SQL, PySpark, and Azure services.
Key Responsibilities:- Azure Data Engineering: Design, develop, and maintain scalable data pipelines using Azure Data Factory, Azure Databricks, SQL, and PySpark.
- Data Quality: Ensure data quality, integrity, and governance in Azure-based data platforms.
- Cross-Functional Collaboration: Collaborate with Product Managers and Engineering teams to support business needs using data-driven insights.
- Data Integration: Build and manage pipelines; perform Python-based transformations; integrate varied source systems using code, repositories, and connections.
- Model Integration: Work with business logic, templated analyses, and report models to operationalize analytics.
- Ontology Management: Define object types, relationships, permissions, object views, and custom functions.
- Application Development: Build and manage Foundry applications using Workshop, Writeback, Advanced Actions, and interface customization.
- Security & Governance: Implement data foundation principles; manage access control, restricted views, and ensure data protection compliance.
- Strong Proficiency: Strong proficiency in Python, SQL, and PySpark.
- Azure Services: Expert in Azure Databricks, Azure Data Factory, Azure Data Lake.
- Palantir Foundry Hands-On Experience: Palantir Foundry hands-on experience, with ability to demonstrate skills during interviews.
- Foundry Certifications: Foundry Certifications: Data Engineering & Foundational.
- Communication & Interpersonal Skills: Strong communication and interpersonal skills.
- Problem-Solving Ability: Ability to work independently and drive conversations with Product Managers and Engineers.
- Leadership: Comfortable acting as a voice of authority in cross-functional technical discussions.
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