1. Experience building data lakes, ETL pipelines, and organizingcleaning data for analytics;br 2. Strong understanding of SQL, experience with key databases such as SnowflakeRedshift, MySQL, MongoDB, etc.;br 3. Understanding of data modeling best practices Star Schemas, Kimball, etc.;br 4. Experience building data platform tools with Python in collaboration with data science or machine learning teams;br 5. Experience building and scaling nonrelational databases, preferably MongoDB;br 6. Experience working with large datasets and building data pipelines from cloud solutions AWS, Azure, or GCP;br 7. Opportunity to work from home, anywhere in the United Statesbr br Any suitable combination of education, training, or experience is acceptable.

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