Looking for Azure Data Engineer & Data Warehouse Developer

We are seeking a skilled Azure Data Engineer to design, develop, and maintain scalable data solutions for enterprise analytics and reporting. The ideal candidate will have hands-on experience with Azure data services, SQL development, data warehousing, and ETL/ELT processes. Responsibilities Design and implement data pipelines using Azure Data Factory (ADF). Develop and optimize SQL Server databases, stored procedures, views, and queries. Build and maintain enterprise Data Warehouse (DWH) solutions. Integrate data from multiple sources including APIs, ERP, CRM, and cloud applications. Create ETL/ELT workflows for data extraction, transformation, and loading. Develop and maintain data models for analytics and reporting. Ensure data quality, consistency, and security across the platform. Monitor and optimize pipeline and database performance. Collaborate with BI developers, analysts, and business stakeholders. Support Power BI reporting initiatives by providing reliable data models and datasets. Required Skills 3+ years of experience as a Data Engineer. Strong expertise in Azure Data Factory, Azure SQL Database, and Azure Data Lake Storage. Advanced knowledge of SQL Server and T-SQL. Experience designing and implementing Data Warehouse (DWH) solutions. Strong understanding of ETL/ELT concepts and best practices. Experience with data modeling (Star Schema, Snowflake Schema). Familiarity with Azure Synapse Analytics is a plus. Experience with Git and CI/CD processes. Strong analytical and problem-solving skills. Preferred Skills Azure Synapse Analytics Databricks PySpark / Python Power BI Microsoft Fabric SSIS