Data Engineer_ Azure MS Fabric

Job Requirements

.Job Summary:

We are looking for a skilled Azure Data Engineer with hands-on experience in Azure Data Factory (ADF) and Microsoft Fabric to design, build, and maintain scalable data pipelines and analytics solutions. The ideal candidate will play a key role in enabling data-driven decision-making across the organization through robust, high-performance data solutions on the Azure platform.

Key Responsibilities:

• Design and implement ETL/ELT workflows using Azure Data Factory (ADF).
• Leverage Microsoft Fabric (including OneLake, Dataflows Gen2, Notebooks, Pipelines, and Lakehouse) to develop end-to-end data engineering solutions.
• Build and maintain data pipelines to ingest, transform, and store data from various sources (structured and unstructured).
• Optimize data processes for performance, scalability, and reliability.
• Work closely with data analysts, BI developers, and stakeholders to deliver business-ready data models.
• Ensure data quality, security, and governance standards are implemented and followed.
• Participate in solution architecture, technical documentation, and performance tuning.
• Troubleshoot and resolve data-related issues in development, QA, and production environments.

Work Experience

Required Skills and Qualifications:

• 4+ years of experience in data engineering with a strong focus on the Azure ecosystem.
• Expertise in Azure Data Factory (ADF) - pipelines, data flows, triggers, integration runtimes.
• Hands-on experience with Microsoft Fabric, especially with Lakehouse architecture, OneLake, and Fabric Pipelines.
• Strong SQL skills and experience working with Azure Synapse, Databricks, or other distributed compute platforms.
• Experience in working with delta lakes, parquet files, and data lake storage (ADLS Gen2).
• Good understanding of data modeling, data warehousing, and ETL best practices.
• Familiarity with DevOps, CI/CD pipelines, and Git integration for data solutions.
• Strong problem-solving, analytical, and communication skills.
• Knowledge of Azure Data Lake, Azure SQL, and Data Governance tools like Purview.
• Understanding of security & access control mechanisms in Azure.
• Experience working in Agile/Scrum teams