TikTok Data Manipulation (SQL/Python) interview questions focus on real-world data problems at extreme scale: expect tasks that test your ability to transform messy event logs, compute cohort and funnel metrics, and optimize queries or scripts for performance. Interviews emphasize SQL fluency—joins, window functions, aggregates, CTEs, NULL handling and performance tradeoffs—alongside Python data-manipulation using pandas or lightweight algorithms. Interviewers evaluate correctness, edge-case handling, runtime and space complexity, clarity of thought, and the ability to explain tradeoffs and assumptions. Product context and experiment-signal thinking often appear alongside purely technical prompts. For interview preparation, plan for a short recruiter screen followed by several technical rounds that include timed SQL problems (often on a coding platform), Python scripting challenges, and for some roles, questions about big-data tooling or data pipelines. Practice writing runnable SQL from sample schemas, reproducing logic in pandas, and explaining your approach out loud. Time yourself on medium-to-hard problems, revisit fundamentals like window functions and grouping vs HAVING, and prepare concise examples from your experience that show impact and ownership. Mock interviews and clean, commented code will raise your confidence on test day.