Part 5/9:
The third role underscores the importance of maintaining high standards of data quality. Engineers focused on linking data quality metrics, developing change point detection, anomaly recognition systems, and frameworks for data validation. These efforts help in early identification of issues, ensuring the reliability and consistency of data used across various applications. Creating frameworks for detecting discrepancies or irregularities enhances trustworthiness and supports more accurate analysis.