Details.
Build and operate data pipelines at scale using strong SQL and modern tools such as dbt, Spark, Airflow, and a data warehouse. These roles involve designing pipelines and models, owning data quality, reliability and cost, collaborating with analytics, ML and product teams, and making pragmatic build versus buy decisions across the modern data stack. Production data engineering experience, a pragmatic approach to data quality, governance and cost, and sound judgement are valued.