Description

We are looking for a skilled Palantir Developer with expertise in Data Engineering and Artificial Intelligence (AI) to join our dynamic team. The ideal candidate will have a deep understanding of Palantir platforms, strong data engineering skills, and experience in leveraging AI to solve complex business problems. This role involves working closely with cross-functional teams to design, develop, and deploy cutting-edge solutions using Palantir's suite of tools.

Responsibilities:

• Design and implement scalable data pipelines and workflows using Palantir Foundry or similar platforms.
• Integrate, transform, and analyze large datasets to enable data-driven decision-making.
• Develop AI/ML models and integrate them into the Palantir ecosystem to solve business challenges.
• Collaborate with stakeholders to understand requirements and translate them into technical solutions.
• Build and optimize workflows for data ingestion, processing, and visualization.
• Ensure the quality, security, and integrity of data within the Palantir platform.
• Create dashboards and reports for real-time data monitoring and insights.
• Support end-to-end project delivery, including testing, debugging, and documentation.

Requirements:

• Proven experience working as a Palantir Developer or similar role, with expertise in Palantir Foundry.
• Strong background in Data Engineering, including data modeling, ETL processes, and pipeline development.
• Proficiency in programming languages such as Python, Java, or Scala.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deploying models in production.
• Excellent knowledge of database systems (SQL and NoSQL) and writing complex queries.
• Familiarity with big data technologies like Apache Spark, Kafka, or Hadoop.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Experience with data visualization tools and creating interactive dashboards.
• Bachelor's or Master’s degree in Computer Science, Data Science, or a related field.

Preferred Skills:

• Experience working in a cloud environment (AWS, Azure, GCP).
• Knowledge of DevOps practices and CI/CD pipelines.
• Familiarity with natural language processing (NLP) and other advanced AI techniques.
• Strong communication skills to work effectively with technical and non-technical stakeholders.