data engineers

3 years of relevant experience in the data engineering role, including data warehousing and
business intelligence tools, techniques and technology, or experience in analytics, business analysis
or comparable consumer analytics solutions
Statistics experience preferred
Experience in big data processing and using databases in a business environment with large-scale,
complex datasets. (SQL, Hadoop, Spark, Flink, Beam etc)
Knowledge and direct experience using business intelligence reporting tools. (Quicksight, Tableau,
Splunk etc.)
Extensive knowledge of SQL query design and tuning for performance and accuracy
Experience with Python, R, or other data relevant scripting languages preferred
Experience with Data Lake design and philosophy
Experience in an Agile/Sprint working environment preferred
Proficient research skills to locate market information using numerous internal and external sources
of data