2+ years of Data Engineering (Fewer years’ experience will be considered for Master’s degree holders).
Experience with batch or real-time data ingestion; experience with coding pipelines that handle massive quantities of data (structured and unstructured), securely and in a timely fashion.
Understanding of data architecture concepts such as data modeling, Big Data storage, Lambda architecture, data vault, and dimensional modeling is nice to have.
Understanding of integration with source systems; able to load operational systems’ data into a single data platform using data integration tools.
Experience scheduling jobs that can be monitored efficiently and ensure data quality.
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