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Lead Data Engineer (Microsoft Fabric)

๐Ÿ“… Jul 24
SQLPythonETL DevelopmentData Transformation

๐Ÿ“œ Description

  • Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges and data inconsistencies.
  • Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric.
  • Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads.
  • Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations.
  • Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture.
  • Mentor and guide team members on ETL development and data transformation techniques.

๐Ÿ› ๏ธ Requirements

  • Advanced proficiency in SQL for complex data transformations and query optimization.
  • Strong Python expertise for automation scripting and ETL orchestration.
  • Hands-on experience in designing and implementing ETL solutions across complex, multi-source environments.
  • Proven experience with enterprise ERP systems and large-scale data integration scenarios.
  • Solid understanding of Azure ecosystem and experience with Microsoft Fabric for data engineering.
  • Strong knowledge of data modeling principles and ability to design schemas for AI use cases.
  • Experience with data quality assessment and validation frameworks.
  • Excellent problem-solving skills focused on scalability and performance optimization.

โœจ Benefits

  • ๐Ÿ“š Learning Opportunities: โ€ข Certifications in AWS (we are AWS Partners), Databricks, and Snowflake
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