Senior Azure Data Engineer

Job Description

In this Role, Your Responsibilities Will Be: Collaborate with cross-functional teams, including data analysts, data scientists, and business stakeholders, to understand their data requirements and deliver effective solutions. Leverage Fabric Lakehouse for data storage, governance, and processing to support Power BI and automation initiatives. Expertise in data modeling, with a strong focus on data warehouse and lakehouse design. Design and implement data models, warehouses, and databases using MS Fabric, Azure Synapse Analytics, Azure Data Lake Storage, and other Azure services. Develop ETL (Extract, Transform, Load) processes using SQL Server Integration Services (SSIS), Azure Synapse Pipelines, or similar tools to prepare data for analysis and reporting. Implement data quality checks and governance practices to ensure accuracy, consistency, and security of data assets. Monitor and optimize data pipelines and workflows for performance, scalability, and cost efficiency, utilizing Microsoft Fabric for real-time analytics and AI-powered workloads. Strong proficiency in Business Intelligence (BI) tools such as Power BI, Tableau, and other analytics platforms. Experience with data integration and ETL tools like Azure Data Factory. Proven expertise in Microsoft Fabric or similar data platforms. In-depth knowledge of the Azure Cloud Platform, particularly in data warehousing and storage solutions. Strong problem-solving skills with a track record of resolving complex technical challenges. Excellent communication skills, with the ability to convey technical concepts to both technical and non-technical stakeholders. Ability to work independently and collaboratively within a team environment. Microsoft certifications in data-related fields are preferred. DP-700 (Microsoft Certified: Fabric Data Engineer Associate) is a plus.