Description

You will lead the design, implementation, and optimization of data engineering pipelines and ETL processes using Microsoft Fabric.

Responsibilities

• Architect and implement ETL workflows using Microsoft Fabric Data Pipelines, Dataflows, and Notebooks.
• Integrate Azure Blob Storage as a primary data staging area for seamless Fabric compatibility.
• Design template mapping systems with versioning to support dynamic file processing and metadata management.
• Build and optimize data processing pipelines for various source file formats and carrier templates.
• Collaborate with Power Apps and Power Automate developers to ensure smooth workflow integration.
• Develop and implement comprehensive error handling and logging mechanisms.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, and the Azure ecosystem.
• Advanced programming skills in Python and DAX.
• Proficiency in SQL and Javascript.
• Practical knowledge of building and maintaining Azure Blob Storage solutions.
• Experience with Power BI for data visualization and integration.
• Familiarity with BPMN and data governance frameworks.
• Microsoft certifications such as PL-600, PL-400, or DP-500.

Preferred Skills

• Experience with C# and Java.

Key Skills

Education

Any Graduate