You are an experienced, Python-savvy, Data Engineer with a fastidious penchant for structure, generalization, and consistency. You have experience implementing data manipulation systems at scale. You focus on optimizing flows for both efficiency and maintainability and you are well-versed in Data Architecture best practices.
We have multiple data sources that yearn to be ETL-ed into a corpus of intuitive, useful data sets to be explored by Business Analysts, or to be used in training Machine Learning models. You will own all of that raw data acquisition and its processing before its consumption by analysts and ML systems.
If this sounds like you, we would love for you to come to our HQ for a few interviews with our engineers and analysts. If everything goes well, you left-outer-join the team and we make lots of data sets together.
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