What is TERM?
In the rapidly evolving landscape of data management and analytics, the role of the data engineer has undergone a significant transformation. Traditionally, data engineers were tasked with building and managing data pipelines, helping ensure data quality, and supporting the integration of analytics into business processes. However, the demands of modern data ecosystems have expanded the scope of data engineering to include advanced responsibilities such as cloud infrastructure management, real-time data processing, cost and multi-cloud optimization. This blog explores the key differences between traditional and modern data engineers, the challenges they face, and the skills required to help Data Engineers succeed in today’s AI driven world.
