Create and maintain optimal data pipeline architecture
Assemble large, complex data sets and implement internal process improvements
Build infrastructure for optimal extraction, transformation, and loading of data using Python and AWS technologies
Required Qualifications
Master's degree or equivalent in a relevant quantitative field
4 years of experience in a full cycle Data Engineering role
Experience with Python coding and AWS Glue
Familiarity with big data tools like Snowflake, Hadoop, and Spark
Knowledge of AWS cloud services, including EMR and Redshift
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