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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.
Job Responsibility
Design, develop, and maintain data pipelines to support efficient data integration and processing
Implement and manage Snowflake-based data repositories to centralize and secure organizational data
Utilize Palantir to standardize and analyze data across multiple divisions, ensuring consistency and accuracy
Develop ETL processes to extract, transform, and load data from various sources into centralized systems
Collaborate with stakeholders to define data requirements and optimize system performance
Leverage tools like Apache Spark, Hadoop, and Kafka to build scalable data solutions
Monitor and troubleshoot data systems to ensure reliability and address any issues promptly
Deploy advanced analytics and AI models to drive operational efficiencies
Document processes and provide technical support to ensure smooth implementation and usage of data systems
Requirements
Proven experience in implementing and managing Snowflake and Palantir platforms
Strong proficiency in programming languages such as Python for data manipulation and analysis
Expertise in working with Apache Spark, Hadoop, and Kafka for large-scale data processing
In-depth knowledge of ETL processes and tools to handle complex data workflows
Familiarity with building and optimizing data pipelines and architectures
Ability to troubleshoot and resolve data system issues in a timely manner
Excellent problem-solving skills and attention to detail
Strong communication skills to collaborate effectively with cross-functional teams