Description

You will architect and engineer large-scale data environments for the Central Response Library, focusing on efficient retrieval, analysis, and complex data correlations.

This role is remote.

Responsibilities

• Design, build, and maintain scalable, normalized database structures to ensure high query performance.
• Ingest, transform, and clean large datasets efficiently while maintaining data integrity.
• Architect data correlations between multiple functional areas to support advanced analysis.
• Optimize data storage and retrieval through advanced architectural design and indexing strategies.
• Implement caching approaches and partitioning techniques to handle large-scale data requests.

Required Skills

• 5+ years of experience in data engineering or architecture.
• Expertise in designing scalable, normalized database structures.
• Proven ability to ingest, transform, and clean large-scale datasets.
• Deep understanding of indexing strategies, partitioning, and shading.
• Experience with query optimization techniques for high-performance retrieval.
• Knowledge of caching approaches for handling large-scale data requests.
• Strong data analysis skills.
• Bachelor's degree or equivalent graduate education.

Key Skills

Education

Any Gradute