Belhati Consulting Services is hiring an experienced Data Engineer to design, build, and optimize scalable data solutions on Microsoft Azure. The ideal candidate will have strong expertise in end-to-end data engineering, cloud-based ETL/ELT pipelines, data modelling, and large-scale data processing. Roles & Responsibilities: Develop, build, and deploy cloud-based data engineering solutions using Azure SQLDW, T-SQL, Databricks, Data Lake, Azure Data Factory, and Blob Storage. Design and implement scalable ETL/ELT pipelines for high-volume data ingestion, transformation, and migration. Work with Spark/Spark SQL and Azure Databricks to process and optimize large datasets. Implement data modelling, data quality checks, performance tuning, and validation for reliable data delivery. Build pipelines to load data into Azure SQL Data Warehouse / Azure Synapse Analytics or SQL Server BI toolsets (SSRS, SSIS, SSAS). Ensure secure and efficient data management, including permissions, recovery, monitoring, and governance. Choose optimal data storage and processing solutions based on workload requirements (relational, non-relational, batch, or real-time). Work with Azure DevOps for CI/CD automation and deployment of data engineering workloads. Collaborate with cross-functional teams to understand business requirements and deliver robust, scalable data solutions. Knowledge of Teradata, Azure Pipelines, DevOps, and Linux is desirable.