Bachelors degree, or foreign equivalent, in Computer Engineering, Computer Science, or a related technicalbr field, and three 3 years of data warehouse or data lake technical architecture experience; or a Masters degree,br or foreign equivalent, in Computer Engineering, Computer Science, or a related technical field, and one 1 yearbr of data warehouse or data lake technical architecture experience. Stated experience must include demonstrated expertise in the following Big Data and Big Data tools in one or more of the following Kafka, MapReduce, Spark or Python,br Hadoop Implementing efficient logic using collections and data structures; AWS or engineering in other cloud environments; Database ArchitectureSchema design batch processing and workflow tools, such as AirFlow, NiFi; and Technical leadership and mentoring of other engineers with respect to best practices on databr engineering. Will accept any suitable combination of education, training, or experience.
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