Description
The Expert D&T Data Visualization Engineer will lead the design and implementation of scalable data pipelines, data integration, ETL, data quality, monitoring, and automation initiatives for enterprise data platforms. The role combines technical leadership with mentorship, project delivery, and collaboration with data scientists, modelers, business stakeholders, and global teams. It requires 6–8 years of enterprise data engineering experience and expertise in SQL, Python, PySpark, dbt, Databricks, Git, Azure DevOps, cloud platforms, CI/CD, and infrastructure-as-code.
