Data Engineer (Palantir)

We are seeking a skilled Data Engineer with Palantir Foundry experience to join our team. The ideal candidate will have expertise in designing, building, and optimizing scalable data pipelines while leveraging Palantir Foundry to deliver data-driven solutions.

Key Responsibilities

• Design, develop, and maintain robust data pipelines using Palantir Foundry.
• Build and optimize ETL/ELT workflows for large-scale data processing.
• Develop and manage data models, datasets, and transformations within Foundry.
• Integrate data from multiple sources, including APIs, databases, and cloud platforms.
• Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data solutions.
• Ensure data quality, governance, security, and compliance across data platforms.
• Monitor and troubleshoot data pipelines to improve performance and reliability.
• Implement best practices for data engineering, version control, and CI/CD.

Required Qualifications

• 5+ years of experience in Data Engineering.
• Hands-on experience with Palantir Foundry.
• Strong SQL skills and experience with relational and NoSQL databases.
• Proficiency in Python or Java/Scala for data processing.
• Experience with ETL/ELT development and data integration.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with distributed data processing tools like Apache Spark.
• Knowledge of Git, CI/CD, and Agile methodologies.

Preferred Qualifications

• Experience with data governance and metadata management.
• Knowledge of streaming technologies such as Kafka.
• Experience working with large-scale enterprise data platforms.
• Strong analytical, troubleshooting, and communication skills.