Masters degree in Information Management, Machine Learning, Data Science, a related field, or a foreign equivalent, plus 2 years of postbaccalaureate experience in Machine Learning, Data Science, Computer Science, Big Data, Database Management System, Statistics, and Forecasting. Experience must include the following Building ETL data pipeline with Spark, PySpark, Airflow, Docker, Kubernetes, and Zeppelin; Database design and optimization with Redshift, MySQL, Hive; Time Series forecasting and clustering; Rest Server API design and implementation; Data analytics system implementation with Superset, Tableau; and Web interface design and implementation using jQuery, Javascript, HTML, CSS, and Flask.

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