7+ years of experience as a Software Engineer and/or have an educational background in a quantitative field such as Computer Science, Physics, Applied Math, or Statistics.
Knowledge of and/or prior experience working on experimentation is required, though prior experience on an Experimentation Platform team is not required.
Have strong communication skills and the ability to work effectively with leaders in product, data science, and engineering.
Strong technical accomplishments in SQL and data analysis skills
Experience with MPP databases such as BigQuery, Redshift, or We use BigQuery here at Mailchimp
Familiarity with Python, Go, Java or another OOP Most of our tools are primarily built in Python
Strong technical accomplishments in SQL and data analysis skills
Familiarity with ETL orchestration tools like Apache Airflow and Google Dataflow
Strong business intuition and ability to understand complex business systems
Familiarity with additional transformation platforms like Apache Spark and Beam
Expertise in visualization technologies like Looker, Tableau, or Qlik Sense
Experience with GCP/AWS or other cloud providers
Bonus points:
Deep understanding of statistics, data science, or large-scale data processing