The role focuses on manipulating data in a software engineering capacity, including normalizing databases, validating data structures, constructing consistent and machine-readable datasets, combining information from multiple sources, and supporting company requirements. It requires strong SQL, data modeling, and experience with Spark, Hive, and Airflow.
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