Technologies
Data engineering is a discipline within the broader field of data science that focuses on designing, building, and maintaining the systems and infrastructure required to process, store, and analyze large volumes of data. Data engineers are responsible for developing robust data pipelines, data warehouses, and data lakes that enable organizations to extract insights and make data-driven decisions.
Data engineers are responsible for collecting data from various sources, including databases, APIs, streaming platforms, and external sources.
Data engineers design and implement storage solutions, such as data warehouses and data lakes, to store structured, semi-structured, and unstructured data efficiently.
Data engineers develop data processing pipelines to clean, transform, and enrich raw data into a format suitable for analysis and reporting.
