Data Engineer
Asana
(San Francisco, California)Asana provides a world-class application that makes it easier for teams to track their work with greater clarity, accountability, and efficiency. Asana is one of Fast Company's Most Innovative Companies, the top work-tracking vendor on Forbes's inaugural Cloud 100 list, and the only enterprise software application to win Google's 2016 Material Design Award.
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Work with our ETL pipeline to:
- Handle new volumes of data
- Improve stability and speed so that our data is more consistently available for the rest of the org
- Add new features for more flexible management of jobs and the dependency structure
- Write MapReduce jobs to add new aggregations to our statistics databases to make new classes of questions answerable
- Add new features to our in-house experimental analysis tools so that we can better understand the impact of our A/B tests
- Build infrastructure for how we build, train, configure, and evaluate our machine learning models, with an eye for efficiency
- Fluent in a modern scripting language (ideally Python)
- Comfortable with relational data modeling and SQL
- Knowledgable about the tradeoffs of various data platforms and curious to explore new technologies
- Comfortable handling challenges in real time
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