Jobs → Data & Analytics → Azure Data Engineer

About the Role We are seeking an Azure Data Engineer to join our team at UST/T-Mobile. This role involves developing production-grade data engineering solutions and building end-to-end data pipelines. Key Responsibilities • Develop production-grade data engineering solutions based on solution designs provided by Senior Data Engineers • Build and maintain end-to-end data pipelines from ingestion through visualization • Implement data ingestion using batch, CDC, streaming, and API integration patterns • Design and develop physical data models in Snowflake and Databricks • Work with Delta Lake, Unity Catalog, Iceberg Tables, and Medallion Architecture (Bronze, Silver, Gold) • Develop semantic layer components in Microsoft Fabric (OneLake, Fabric IQ) • Build Power BI dashboards, reports, and visualizations • Implement unit testing, integration testing, data quality validation, reconciliation checks, and SLA monitoring • Support production pipelines and provide KTLO (Keep The Lights On) support • Maintain technical documentation, lineage, mappings, runbooks, and data dictionaries • Follow DevOps best practices including Git, CI/CD, code reviews, and automated testing • Participate in stakeholder discussions and technical design reviews • Collaborate with engineering teams and contribute to knowledge-sharing initiatives Requirements • Bachelor's Degree in Computer Science, Information Systems, Software Engineering, or equivalent experience • 4+ years of hands-on Data Engineering experience in enterprise environments • Strong SQL and Python development experience • Hands-on expertise with Databricks, Delta Lake, Unity Catalog, PySpark, Spark SQL, and Snowflake • Telecom experience is a must