Data Engineer
The Role:
A Data Engineer is a professional who designs, constructs, and maintains systems that collect, store, and analyze large amounts of data. Their role involves ensuring that data is accessible, reliable, and efficient to support organizational decision-making, analytics, and business operations. They are responsible for creating the infrastructure that allows data scientists and analysts to work with data effectively.
- How the role fits within a team: What sort of people and skills do I need in my team?
- More details on requirements and responsibilities: Data Engineer Job Specification
- Examples of what a Data Engineer does day-to-day:
How to Become a Data Engineer:
Learn more about the experiences and qualifications needed to become a Data Engineer and progress through the levels.
Recommended Quantexa Certifications:
The Quantexa Academy is a modular learning experience that teaches individuals the key skills needed to successfully develop, deploy, and use the Quantexa Platform.
It offers a range of courses and programs. The technical certification programs (Academies) offer assessments that allow learners to gain Quantexa Certifications.
We recommend Data Engineers in your organisation gain the following certifications to deploy and maintain Quantexa.
- Quantexa Data Engineer Academy (DEA): The Quantexa Data Engineer Academy is an in-depth program aimed to teach Data Engineers how to build Quantexa Platforms.
- Quantexa Task Loading (QTL): In-depth program designed to help Quantexa Certified Data Engineers implement and customize Task Loading on a project
- Quantexa Scoring Engineer Academy (SEA): The Quantexa Scoring Engineer Academy qualifies the individual to write key detection logic that can be implemented within the Quantexa Assess framework.
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