Azure Data Engineer

Job description

**Key Skills:** ADF, Python, Data Engineering, Azure Databricks, Azure Cloud, Azure Synapse **Roles and Responsibilities:** - Design and implement data engineering solutions on Azure, including scalable ingestion and transformation pipelines. - Build and optimize cloud-based data solutions to support analytics, reporting, and data consumption use cases. - Develop, test, and maintain data workflows with a focus on reliability, performance, and data quality. - Collaborate with stakeholders to translate data requirements into technical designs and deliverables. - Monitor pipeline health and troubleshoot data processing issues to ensure timely and accurate data delivery. **Skills Required:** - 8-12 years of relevant experience in data engineering on cloud platforms - Azure cloud services for building and operating data solutions - Data engineering experience across the data pipeline lifecycle - Cloud-based data solutions development with a focus on scalability and reliability - Hands-on delivery of production-grade data workflows (ingestion, transformation, and data delivery) Good to Have: - Python - SQL - Azure Data Factory - Azure Databricks - Azure Synapse Analytics **Education:** Bachelor's Degree in Computer Science, Master's Degree in Computer Science