Responsibilities:

Interprets raw data from smart pigs or NDT tools, identifies potential defects, and categorizes anomalies.

Skills:

• Signal processing
• Pattern recognition
• Familiarity with inspection software (e.g., ROSEN, GE PII).

Education:

Bachelor’s in Engineering, Physics, or Data Science.

Certifications:

• OEM data interpretation training (e.g., ROSEN, NDT Global)
• NDT Level II (optional but useful)

Experience:

2–5 years interpreting smart pig or NDT data.