Azure Data factory Data Engineer

We are looking for a skilled Azure Data Factory (ADF) Data Engineer to design, develop, and maintain scalable cloud-based data integration and analytics solutions. The ideal candidate will have hands-on experience in Azure Data Factory, Azure Data Lake, SQL, and modern data engineering practices. You will be responsible for building robust data pipelines, enabling data-driven decision-making, and supporting enterprise-scale analytics initiatives. You will collaborate with architects, business analysts, data scientists, and stakeholders to deliver high-quality, scalable, and secure data solutions on the Azure ecosystem. Technical Requirements: 2-3 years of experience in Data Engineering and Azure Data Platform. Strong hands-on experience with Azure Data Factory (ADF). Experience with Azure Data Lake Storage (ADLS Gen2). Strong SQL development skills, including query optimization and performance tuning. Experience in designing and maintaining ETL/ELT pipelines. Knowledge of Azure SQL Database, Synapse Analytics, or SQL Server. Understanding of data warehousing concepts and dimensional data modeling. Experience with source control tools such as Git/Azure DevOps. Familiarity with data integration patterns and cloud-based data architectures. Strong analytical and problem-solving skills. Responsibilities: Design, develop, and maintain end-to-end data ingestion and transformation pipelines using Azure Data Factory (ADF). Build and optimize ETL/ELT workflows for processing large volumes of structured and unstructured data. Integrate data from multiple on-premises and cloud-based sources into enterprise data platforms. Develop and maintain Azure Data Lake Storage (ADLS) based data solutions. Monitor, troubleshoot, and optimize ADF pipelines to ensure reliability and performance. Collaborate with business stakeholders to gather requirements and translate them into scalable technical solutions. Implement data quality checks, validation mechanisms, and monitoring frameworks. Create reusable components, technical documentation, and best practices for data engineering projects. Support production deployments, issue resolution, and continuous improvement initiatives. Participate in code reviews and contribute to data architecture and design discussions. Preferred Skills: Technology->Cloud Integration->Azure Data Factory (ADF)