Lead Data Engineer (Microsoft Fabric)

📋 Description

• Conduct gap analysis and data mapping across 80+ ERP systems to identify integration needs.
• Design and develop ETL pipelines and data transformations for Microsoft Fabric.
• Build data quality frameworks and validation rules for AI-ready analytics.
• Lead hands-on ETL standards and automation scripts for multi-source integrations.
• Develop and optimize data models to unify ERP sources into AI-ready architecture.
• Lead pilot implementation, testing against real ERP data.

🎯 Requirements

• Advanced proficiency in SQL for complex data transformations, query optimization, and performance tuning.
• Strong Python expertise for automation scripting, data pipeline development, and ETL orchestration.
• Hands-on experience designing and implementing ETL solutions across complex, multi-source environments.
• Proven experience with enterprise ERP systems and large-scale data integration.
• Solid understanding of Azure and hands-on experience with Microsoft Fabric for data engineering.
• Strong knowledge of data modeling principles for AI and analytics use cases.
• Experience with data quality assessment, validation frameworks, and data profiling techniques.
• Excellent problem-solving with a focus on scalability and performance.

🎁 Benefits

• Certifications in AWS, Databricks, Snowflake; AI learning paths.
• Travel opportunities to attend industry conferences.
• Mentoring and career development programs.
• Flexible working options including remote work.
• Statutory benefits: social security, year-end bonus, vacation.
• Company-provided equipment.