This individual should have strong SQL skills and be able to read and write complex SQL queries. They should also be familiar with Airflow and creating ETLs from scratch. A basic knowledge of Python is also required so they can deploy code in Airflow and also push code for metrics alerting, Amundsen and other internal data tooling changes.
Build and maintain SQL repositories
Perform quality checks on events and other data logs
Clean up and maintain Airflow DAGs - including setting up complex dependencies, running backfills, investigating root causes of sequential failures etc
Build and maintain Mode dashboards (knowing Mode is NOT a requirement for the job)
Migrate existing dashboards/visualizations to Looker.
Set up and investigate metric alerts using 3rd party tools such as Anamalo
Data documentation and creating wikis to help others understand and use our data
Create weekly metrics reports that summarize the state of the business
5 plus years of overall experience
Strong experience with SQL
Basic knowledge with python
Familiarity with Airflow
A Bachelors degree or higher is required for this role.
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