Description
SQLI is recruiting a Databricks Data Engineer to design, develop, optimize, and oversee data pipelines and architectures on Azure Databricks and Azure Data Lake. The role covers data transformation, automated testing, CI/CD, monitoring, performance optimization, and collaboration with business teams, using technologies including Python, PySpark, Scala, SQL, dbt, Azure DevOps, Datadog, and Power BI. The position requires a master’s degree or equivalent, at least five years of relevant data engineering or Databricks experience, and leadership or project-leadership experience.
