Better analytics starts before the dashboard. Organisations need reliable ways to collect, transform, store and expose data.
Data engineers build the pipelines, APIs and warehouse structures that turn scattered source data into useful information.
Core capabilities
The original article highlights database management, data APIs, ETL routines, data warehousing, machine learning awareness, algorithms and distributed systems.
For DTL, data engineering sits close to software engineering and integration because value appears when data flows through real business systems.