Description
The Senior Data Engineer will architect and lead enterprise data platforms, pipelines, and infrastructure; build and optimize data models and dimensional schemas; establish data quality, governance, and metadata frameworks; translate business requirements into scalable solutions; improve pipeline performance, cost, and reliability; troubleshoot failures; and mentor junior engineers. The role requires at least five years of data engineering or related experience, strong SQL and modern data warehouse skills, large-scale Spark or Airflow pipeline experience, Python or Scala proficiency, cloud platform experience, and the ability to mentor junior engineers.
