Description
The role owns end-to-end data engineering projects and modules on the Azure Data Platform, including designing, developing, testing, deploying, and optimizing data pipelines, ingestion and transformation frameworks, batch and near-real-time processing, data quality, monitoring, troubleshooting, and CI/CD. It requires strong hands-on experience with Azure Data Factory, Databricks, Apache Spark, Python, SQL, Delta Lake, Azure Synapse or SQL, and related Azure services, along with 4–6 years of data engineering or data platform development experience and a bachelor's degree in a related discipline.
