Advanced Data Engineer: Scalable ETL & Analytics Pipelines
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Software Development
Job Description & How to Apply Below
University of Utah is seeking a data engineer to design, build, implement, and maintain data pipelines for ETL from diverse sources. You will develop scalable solutions, write complex SQL, and collaborate with engineers, data scientists, analysts, and product teams to translate requirements into robust data workflows.
Work with tools such as R, Python, SQL, MongoDB, Redis, Hadoop, Spark, Hive, Scala, Big Table, Cassandra, Presto, and more to process structured and unstructured data across data
This is an excellent opening to take on the Advanced Data Engineer:
Scalable ETL & Analytics Pipelines role at Utah.
We appreciate your interest in this position.
Join Utah and contribute to our ongoing work.
Take a moment to read everything above and see whether this role is right for you.
This posting is for the Advanced Data Engineer:
Scalable ETL & Analytics Pipelines role at Utah, based in Salt Lake City, UT, United States.
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