##### Job Description :
We build ETL for marketing data: TikTok, Facebook, Google (300+ datasources).
We processed trillions of data rows for a customer. Among our customers: ASUS,
Illy, Activision, Adroll, Docker, Hims, OMD, and the University of San
Francisco.
#####
**About the role:**
Build pipelines connected with gpt and other ML tools. At the moment we have
two projects:
* text to SQL
* question to answer
##### **Workflow:**
* Usually in the evening (from 6 pm to 10 pm) for San Francisco time you will have sync calls with the team and some ASAP ad-hoc requests
* At other times of the work day you can thoroughly and slowly do big tasks/refactoring with the standard dev cycle: develop test pr commit review push to prod
##### **Requirements:**
* 2+ years of commercial software experience with Python
* Python libraries for GPT (you can learn it now, it will be asked in the tech interview)
* Understanding of abstracts (+ you can draw explanations diagrams)
* SQL (you can write queries fast)
* 5 hours overlap with 4 pm — 10 pm for San Francisco time ( _UTC-8h)_
##### **Why Improvado:**
* Remote. You don’t spend time getting to work and getting back. You can work from anywhere.
* Equipment and dedicated IT support team. Good laptop etc.
* With us, you can learn how to work with the most demanded data products:
\- - warehouses: clickhouse, gbq, snowflake, azure, aws tools
\- - data engineering and BI frameworks: dbt, cube, hex
\- - visualization tools: tableau, google looker studio, power BI, superset
* With this role, you can expect a significant salary increase
