Hey Khalid 👋, Welcome to the Outdefine platform! 
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One of the most common problems in data engineering is dealing with data quality issues. This can include missing or incorrect data, inconsistencies in data formats, and duplicate records. Ensuring data quality is crucial for accurate analysis and decision-making. Other common challenges include managing large volumes of data, designing efficient data pipelines, and integrating data from various sources. It is important to have robust data governance practices in place to address these issues and maintain the integrity of the data throughout the entire data lifecycle.