Description
The role designs and owns production data pipelines on Databricks using Spark Declarative Pipelines, PySpark, Delta Live Tables, Databricks Asset Bundles, CI/CD, data quality, monitoring, lineage, and incident response. It requires a bachelor's degree and at least five years of data engineering experience, including hands-on production experience on Databricks, along with expertise in Spark, PySpark, Delta Lake, Unity Catalog, Iceberg, SQL, and cross-platform catalog architectures. The role also partners with product managers, architects, and business stakeholders and mentors engineers.
