• 8+ years of experience within the field of data engineering or related technical work.
• Proven experience with Python and SQL. Understanding of Go.
• Experience with data warehousing and data pipeline tools (examples being Snowflake and Airflow).
• Experience with cloud platform and services (examples AWS - EC2, Lambda, Kinesis, OpenSearch or ElasticSearch)
• Exposure to principles of automated testing and commitment to testing as a way of producing robust code.
• Experience with Git and understanding of our basic workflow (branching for your own work; pull requests to commit work back).
• Experience with Unix on the command-line, whether via terminal in MacOS or directly on a version of Linux/*BSD, is greatly valued.