Data Engineering

How TeamPilot evaluates Data Engineering

When evaluating candidates with Data Engineering skills, we for example:

• Look for candidates with practical experience in Data Engineering, not just theoretical knowledge.
• Consider candidates who have worked on projects that demonstrate problem-solving with Data Engineering.
• Ask about specific challenges they see in using Data Engineering.
• Evaluate their understanding of best practices and design patterns in Data Engineering.
• Check if they stay updated with the latest developments in Data Engineering, for example what the latest release included.