Data engineers build Data Architecture through infrastructures and foundations. A data engineer is tasked with designing and maintaining the architecture of data systems, which incorporates concepts ranging from analytic frameworks to data warehouses. Responsibilities also include configuring, managing, and scaling data pipelines. Data engineers:
- Have a programming background (e.g. Java, Scala or Python)
- Emphasize distributed systems and Big Data
- Build and maintain an organization’s data pipeline systems
- Clean and wrangle data into a usable state
Other Definitions of Data Engineers Include:
- “Guides for users through the foundation stages of data exploration and analysis.” (Paramita (Guha) Ghosh)
- “Builders and managers of Data Pipelines and promoter of data and analytic use cases.” (Gartner)
- “People specialized in creating software solutions around Big Data.” (O’Reilly)
- “Builders of tools that can gather data to be used in Machine Learning.” (TechRepublic)
- “Finders of trends in data sets and developers of algorithms to help make raw data more useful to the enterprise.” (CIO)
Businesses Employ Data Engineers to:
- Design and build programs that create large data sets
- Lay the groundwork for a data scientist to analyze and visualize data
- Aid machines to deliver fast, scalable solutions
- Provide trustworthy integrated, and up-to-the-minute data to support reporting and analytics
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