Description
The Data Engineer will design, build, and maintain scalable ETL/ELT pipelines, dashboards, reporting tools, Hive/Presto tables, and data models; partner with Data Scientists and Product teams on data quality and metric integrity; monitor pipeline health; troubleshoot data issues; optimize query performance; and support ad-hoc analytics. The role requires a bachelor's degree in a quantitative field, at least three years of relevant experience, strong SQL, pipeline, Python, data warehousing, and data-quality skills, with additional experience in large-scale processing, visualization, logging, version control, and cross-functional environments preferred.
