**Scrum**: 2-week sprints, standups, planning, retros, refinement. Jira for epics, stories, bugs. **Kanban**: For support and incidents—continuous flow. **Data**: Sprint on pipeline features, schema changes, quality; incidents through Kanban....
Pro-Move: 'We use Kanban for incidents with SLA-based columns—To Do, In Progress, Blocked, Done; MTTR visible.' Red Flag: Same process for features and incidents—different workflows fit each.
This easy-level General/Other question appears frequently in data engineering interviews at companies like Citi. While less common, it tests deeper understanding that distinguishes strong candidates.
Start by clearly defining the core concept being asked about. Interviewers want to see that you understand the fundamentals before diving into implementation details. Structure your answer with a definition, then explain the practical application with a concise example.
Scrum: 2-week sprints, standups, planning, retros, refinement. Jira for epics, stories, bugs. Kanban: For support and incidents—continuous flow. Data: Sprint on pipeline features, schema changes, quality; incidents through Kanban. Best practice: Align sprint with release; standups <15 min; retros with 1–2 concrete improvements.
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Analyze My Answer — FreeAccording to DataEngPrep.tech, this is one of the most frequently asked General/Other interview questions, reported at 1 company. DataEngPrep.tech maintains a curated database of 1,863+ real data engineering interview questions across 7 categories, verified by industry professionals.