Lead Data Engineer (Microsoft Fabric)

📋 Description

• Conduct gap analysis and data mapping across 80+ ERP systems to identify issues.
• Design and develop ETL pipelines to migrate data into Microsoft Fabric.
• Build data quality frameworks and validation rules for AI-ready data.
• Lead ETL standards implementation and automation for multi-source integrations.
• Develop data models to unify ERP sources into an AI-ready architecture.
• Lead pilot rollout, testing standards with real ERP data.

🎯 Requirements

• Advanced SQL for complex transformations, query optimization, and tuning.
• Strong Python for automation, data pipelines, and ETL orchestration.
• Hands-on ETL design and implementation across multi-source environments.
• Experience with enterprise ERP systems and large-scale data integration.
• Azure knowledge and hands-on with Microsoft Fabric for data engineering.
• Data modeling principles and schemas for AI and analytics.

🎁 Benefits

• Certifications in AWS, Databricks, and Snowflake.
• Access to AI learning paths and Udemy Business.
• English lessons to support professional communication.
• Travel opportunities to industry conferences.
• Mentoring and development programs.
• Company-provided equipment.