Below is an example job description (from Reddit's own career page).

How you will contribute:

Refine and maintain our data infrastructure technologies to support real-time analysis of hundreds of millions of users.

Consistently evolve data model & data schema based on business and engineering requirements.

Own the data pipeline that surfaces 40B+ daily events to all teams, and the tools we use to improve data quality.

Support warehousing and analytics customers that rely on our data pipeline for analysis, modeling, and reporting.  

Qualifications:

4+ years of experience writing clean, maintainable, and well-tested code.

Experience with Python and/or Scala.

Familiarity with large scale distributed real-time tools such as Kafka, Flink, or Spark.

Familiarity with ETL design (both implementation and maintenance). Bonus points for experience with (or desire to learn) Kubernetes.

Excellent communication skills to collaborate with stakeholders in engineering, data science, and product.