Data Engineer

Definition of Data Engineer

Data Engineer: A data engineer is a professional who creates and maintains the data pipelines that allow a company to make use of data science. Data engineers are responsible for ensuring that data is correctly collected, cleansed, and organized, so that it can be used by data scientists to glean insights and make predictions.

What does a Data Engineer do?

A Data Engineer is a professional that specializes in designing, developing, and managing data infrastructure. Their role is to integrate data from different sources and then store it in a secure, scalable, and reliable way. They are also responsible for building proper maintenance processes and procedures to ensure the security of the data. Additionally, they may collaborate with other teams such as software engineering, analytics, or machine learning in order to develop pipelines for transforming raw data into more useful formats. Data Engineers build systems that are optimized for speed and scalability so that users can access large amounts of data quickly. This often involves using cloud-based technologies such as Amazon Web Services (AWS) or Google Cloud Platform (GCP). Data Engineers also use big data tools such as Apache Hadoop and Apache Spark to process massive datasets in an efficient manner. Furthermore, they often design software solutions to manage metadata associated with large datasets in order to provide better access to the relevant information. Finally, Data Engineers play an important role in helping organizations make sense of their data by setting up appropriate governance policies and procedures.