Lead Data Engineer

Job Description We are looking for an experienced Lead Data Engineer with strong expertise in Azure Databricks, Azure Data Factory (ADF), PySpark, and SQL to design, develop, and optimize scalable data engineering solutions. The ideal candidate should have hands-on experience building modern data platforms on Azure and leading technical teams. Key Responsibilities Design and develop scalable data pipelines using Azure Databricks and Azure Data Factory (ADF) . Build and optimize ETL/ELT workflows using PySpark . Develop complex SQL queries, stored procedures, and performance tuning. Implement data integration solutions from multiple structured and unstructured data sources. Design and maintain data lakes and modern data warehouse solutions. Ensure data quality, governance, security, and performance optimization. Collaborate with business stakeholders, architects, and cross-functional teams to understand requirements. Lead code reviews, mentor junior engineers, and drive engineering best practices. Troubleshoot production issues and implement scalable solutions. Work in Agile/Scrum development environments. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.