The interview process for a Data Engineer typically begins with an initial screening where a recruiter assesses the candidate’s experience, technical skills, and project background. This is followed by a technical assessment that includes coding challenges in SQL, Python, or Scala, along with questions on data modeling and ETL processes. Next, candidates undergo a system design interview, where they are asked to design scalable data pipelines, discuss database architectures, and explain best practices. Finally, there is a behavioral and culture-fit interview, where the candidate’s problem-solving approach, teamwork, and communication skills are evaluated to ensure alignment with the company’s values.