Data Engineer (Hybrid)

Job description

The Data Engineer (Hybrid) is responsible for transforming data into a format that can be easily analyzed through the design and implementation of methods to improve data reliability and quality. They will combine raw information from various sources to create consistent and machine-readable formats. In addition to develop, maintain, and test infrastructures for data generation, extraction, and transformation for predictive modeling. Duties & Responsibilities: Other duties as assigned. Requirements: - Build the infrastructure required for optimal extraction and transformation from a wide variety of data sources. - Build and optimize ‘big data’ pipelines, architectures, and datasets to be used across the organization. - Understand and translate complex business priorities into clearly defined technical/data specifications for implementation. - Support other team members on data initiatives and ensure optimal data delivery architecture consistency throughout ongoing projects. - Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Implement processes and systems...