Join our team as a Data Engineer and play a crucial role in architecting and maintaining sophisticated data solutions. You will be instrumental in designing, developing, and supporting systems for data generation, collection, and processing.

This role involves building robust data pipelines to ensure seamless data flow and uphold high standards of data quality. You will implement essential ETL processes, facilitating efficient data migration and deployment across diverse platforms.

The position requires a proactive approach to monitoring and optimizing data workflows, ensuring they align with organizational objectives and enhance overall data management capabilities. Continuous improvement of data infrastructure will be a key focus.

Take ownership of data engineering tasks, becoming a subject matter expert and actively contributing to team discussions. You will be expected to provide innovative solutions to complex work-related challenges.

Collaborate effectively with cross-functional teams to define data requirements and deliver scalable, high-performance data solutions. Monitor and troubleshoot data pipelines to guarantee reliability and optimal performance.

Document data processes and workflows thoroughly to promote transparency and facilitate knowledge sharing. Provide guidance and mentorship to junior team members, sharing best practices and fostering professional growth.

Demonstrated proficiency in Large Language Models (LLMs) is essential for this role. A minimum of 3 years of experience with LLMs is required.

Possess a strong background in designing and optimizing data pipelines for large-scale data processing. A solid understanding of data integration techniques and ETL processes is necessary.

Familiarity with various data storage solutions and data quality assurance methodologies is expected. The ability to work with diverse data formats and ensure data consistency across systems is crucial. A full-time education spanning 15 years is a prerequisite for this position.