Data Engineering

Data engineering is the backbone of data management, focusing on the development of scalable data pipelines, ETL (Extract, Transform, Load) processes, and data architecture to support analytics and machine learning. Engineers work with big data technologies like Apache Spark, Hadoop, and cloud platforms such as AWS, Azure, or Google Cloud. They ensure data integrity, optimize data flows, and manage databases, data warehouses, and data lakes.