Big Data Lead

We are seeking a skilled Azure Data Engineer to design, build, and maintain scalable and reliable data pipelines and analytics solutions on Microsoft Azure. The ideal candidate will have strong experience with Azure Data Factory (ADF), Azure Synapse Analytics, and SQL, along with a solid background in data integration, transformation, and modern data warehouse architectures. Key Responsibilities: • Design and implement end-to-end data pipelines using Azure Data Factory (ADF) for ingesting, transforming, and orchestrating data from various sources. • Develop and optimize complex queries and stored procedures in SQL and T-SQL. • Build scalable data solutions in Azure Synapse Analytics, including data modeling, partitioning, and performance tuning. • Collaborate with data architects, BI developers, and business stakeholders to understand requirements and deliver high-quality solutions. • Implement and support data lake and data warehouse architectures on Azure using services like ADLS Gen2, Synapse, and Power BI. • Ensure data quality, security, and governance through best practices and tools. • Monitor, debug, and optimize ETL pipelines and workflows for performance and reliability. • Automate data loading, transformation, and scheduling processes. • Contribute to CI/CD pipelines and DevOps practices for data engineering.