The position requires a Masters degree in Information Technology, Management Information Systems, Data Analytics Engineering, Telecommunications Engineering, or a related field of study and one 1 year of experience. Experience must involve experience in the following data engineering and working with large datasets; data warehouse and ETL pipelines, including storage, analyzing, and extraction of data to support real time delivery to end users; building data automation systems using Python and SQL databases; and working with performance tuning techniques to optimizing existing data flows.
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