Mid
Build the self-serve batch/streaming data infrastructure powering Reddit's 100B+ daily events
Reddit's Data Movement team owns the platform that ingests over 100 billion events a day into a warehouse serving 55,000+ daily queries, using Spark, Flink, and Airflow. This interview focuses on large-scale data infrastructure design, self-service tooling instincts, and hands-on experience with the specific OSS stack.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Spark/Flink/Airflow data infrastructure
- Self-service and automation tooling for data users
- On-call and incident response for a data platform
- Large-scale distributed systems design
- Open-source contribution and collaboration
Common question themes
Tell me about infrastructure you built or extended using Spark, Flink, or Airflow
How would you design a self-service system that removes repetitive manual work for data users?
Walk me through an on-call incident on a data platform — how did you triage and what did you fix afterward?
How do you approach designing a large-scale system when requirements are ambiguous?
Have you contributed to an open-source project as part of your infrastructure work? Walk me through it
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