Data Engineering; big data space; engineering data pipelines using big data technologies Spark, etc. on large scale data sets; writing complex SQL and ETL development with experience processing extremely large datasets; analyzing large data sets to identify gaps and inconsistencies, provide data insights, and advance effective product solutions; AWS Services S3, Event Bridge, Glue, EMR, Redshift, Lambda; and analyzing data to identify deliverables, anomalies and gaps and propose solutions to address these findings.br br EDUCATION Masters degree or foreign equivalent in Analytics, Statistics, Computer Engineering, Math, Information SystemsTechnology, Computer Science or related field.

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