Palantir Data Engineer

Job Description:

Responsibilities:

Data Integration Transformation:

• Design and implement ETL pipelines in Palantir Foundry to handle diverse data sources, ensuring high data quality and consistency.
• Optimize and enhance data workflows to improve performance and scalability.

Data Modeling Architecture:

• Develop data models, ontology, and schemas that align with business requirements.
• Implement robust data governance and lineage mechanisms within the Palantir ecosystem.

Maintenance And Monitoring:

• Monitor data pipelines, troubleshoot issues, and ensure uninterrupted data operations.
• Maintain documentation for workflows, schemas, and integration processes.

Continuous Improvement:

• Drive innovation by leveraging the latest Palantir Foundry features and industry best practices.
• utomate repetitive processes to enhance operational efficiency.

Required Skills And Experience:
Proficiency in Palantir Foundry:

• Hands-on experience in developing and managing pipelines, workflows, and applications on the Palantir Foundry platform.

Data Engineering Expertise:

• Strong programming skills in Python, Java, or Scala for data manipulation and pipeline creation.
• Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL, or Oracle).
• Experience in data modeling, ontology design, and implementing data governance.

Cloud And Big Data Ecosystems:

• Familiarity with AWS, Azure, or GCP and Big Data tools (e.g., Spark, Hadoop).
• Experience with APIs for data integration.