Overview

Job Title: Senior Data Engineer / Azure Fabric Data Engineer

Responsibilities

• Design, develop, and maintain enterprise-scale data ingestion and integration solutions using Microsoft Fabric, Azure, and SQL Server.
• Understand business data requirements and translate them into scalable data engineering solutions.
• Build, customize, and optimize ETL/ELT pipelines for data extraction, transformation, and loading.
• Design and maintain data models, data marts, and enterprise data warehouse solutions.
• Develop data integration frameworks to consume and process data from multiple sources.
• Manage and support existing SQL Server and Azure-based data repositories and ingestion platforms.
• Ensure successful delivery of multiple data engineering projects within defined scope, timelines, quality standards, and budgets.
• Work closely with business stakeholders, analytics teams, and data scientists to support reporting, analytics, and AI use cases.
• Implement change requests (CRs) and enhancements to existing data warehouses and data platforms.
• Troubleshoot, analyze, and resolve issues related to Azure, SQL Server, Fabric, and data integration processes.
• Monitor project progress, identify risks, and proactively mitigate delivery challenges.
• Facilitate team collaboration, remove delivery blockers, and ensure smooth project execution.
• Support production deployments and ongoing operational activities for data engineering solutions.
• Collaborate with cross-functional teams to ensure data quality, reliability, security, and governance standards.

Qualifications

• Strong hands-on experience with Microsoft Fabric (Mandatory).
• Expertise in SQL Server, T-SQL, Stored Procedures, Performance Tuning, and Database Management.
• Strong ETL/ELT development experience.
• Knowledge of Data Warehousing concepts, Data Marts, and Dimensional Modeling.
• Strong troubleshooting and problem-solving skills.
• Preferred Skills
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Data Lake
• Azure SQL Database
• Power BI
• Knowledge of Agile delivery methodologies.
• Familiarity with Data Governance and Data Quality frameworks.
• 8+ Years of Data Engineering experience.
• Strong experience in Azure Data Platform technologies.
• Computer Science
• Information Technology
• Engineering
• Related Discipline
• Microsoft Certified: Fabric Analytics Engineer Associate
• Microsoft Certified: Azure Data Engineer Associate
• Microsoft Azure Certifications
• Microsoft Power BI Certifications

Education

• Bachelor's Degree or equivalent