Data engineer

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:

• 2+ 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.