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Bachelor’s degree (preferably Computer Science, Engineering, or other quantitative fields)
7+ years of related experience in designing and implementing production-grade data analytic solutions in Scala, Python, and PySpark
5+ years of experience working with large-scale data and developing SQL queries to extract insights (100 gigs or more)
3+ years of hands-on experience with data analytic cloud services, such as AWS EMR, Airflow, and RedShift
3+ years of leveraging statistical techniques to cross-examine multiple data sources to surface patterns and data abnormalities
3+ years of experience working within Business Intelligence tools such as Tableau, Cognos, Qlik, Pyramid
Lead data analysts and data engineers to mature proof-of-concepts and harden them into data analytic solutions.
ANY GRADUATE