Terms

Data Engineers implement methods to improve data reliability and quality. They combine raw information from different sources to create consistent and machine-readable formats. They also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modeling, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.

They put architecture models into production and build the infrastructure required for optimal extraction, and transformation. Choosing optimal solutions to use for collection, storing, processing, and analyzing huge sets of data, then maintaining, implementing, and monitoring them. The DD is also responsible for integrating them with the architecture used across the company.