Amazon Data Engineer Interview Preparation Guide (Mid-Level)

Amazon's Data Engineer interview process consists of 3 main phases: an initial recruiter screening call, a technical phone screen focused on SQL and data modeling, and an onsite interview loop (3-4 interviews) that includes two technical interviews assessing problem-solving through scenario-based questions, a Bar Raiser round evaluating cultural fit and critical thinking, and a behavioral round focused on Amazon's Leadership Principles. For mid-level candidates, the process emphasizes hands-on technical proficiency, ability to own medium-sized projects independently, and demonstrated mentorship potential.