We are looking for a skilled Data Engineer to join our team on a long-term contract basis. In this role, you will play a critical part in managing and organizing data systems, ensuring they are optimized for performance and scalability. Based in New York, New York, this position offers an exciting opportunity to work on cutting-edge data platforms and contribute to impactful business solutions.<br><br>Responsibilities:<br>• Design, develop, and maintain data pipelines to support efficient data integration and processing.<br>• Implement and manage Snowflake-based data repositories to centralize and secure organizational data.<br>• Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy.<br>• Develop ETL processes to extract, transform, and load data from various sources into centralized systems.<br>• Collaborate with stakeholders to define data requirements and optimize system performance.<br>• Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions.<br>• Monitor and troubleshoot data systems to ensure reliability and address any issues promptly.<br>• Deploy advanced analytics and AI models to drive operational efficiencies.<br>• Document processes and provide technical support to ensure smooth implementation and usage of data systems.

• Proven experience in implementing and managing Snowflake and Palantir platforms.<br>• Strong proficiency in programming languages such as Python for data manipulation and analysis.<br>• Expertise in working with Apache Spark, Hadoop, and Kafka for large-scale data processing.<br>• In-depth knowledge of ETL processes and tools to handle complex data workflows.<br>• Familiarity with building and optimizing data pipelines and architectures.<br>• Ability to troubleshoot and resolve data system issues in a timely manner.<br>• Excellent problem-solving skills and attention to detail.<br>• Strong communication skills to collaborate effectively with cross-functional teams.

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