Lead Azure Data Engineer

📋 Description Design, develop, and maintain scalable ETL/ELT pipelines for large data. Build and manage cloud data platforms: data lakes, data warehouses, analytics. Develop and optimize pipelines using Spark, PySpark, and cloud-native services. Work with real-time and batch processing to ensure reliable data delivery. Design robust data models; ensure data quality, governance, and performance. Optimize SQL queries and analytics workloads for performance. 🎯 Requirements 7+ years in Data Engineering, ETL, and cloud analytics. Azure Data Factory, Databricks, Azure Synapse Analytics, Spark, PySpark expertise. Data lakes, Delta Lake architecture, and modern big data tech. Strong SQL development, query optimization, and performance tuning. Designing scalable cloud data platforms and enterprise architectures. Data reporting, modeling, and dashboard development.