ETL Lead - Data - - Offshore

Core Data & ETL Skills • Strong experience in ETL / ELT architecture and enterprise data migration. • Hands-on experience with large-scale data migration from legacy platforms to cloud. • Strong knowledge of data mapping, profiling, transformation, reconciliation, and validation. • Experience designing repeatable and audit-ready ETL frameworks. Azure Data Platform Skills • Azure Data Factory • ADLS Gen2 • Azure SQL / SQL Managed Instance • SQL Server • Data pipelines and staging layers • Monitoring and pipeline failure handling Legacy Data Skills • Experience with mainframe or HP NonStop data migration is preferred. • Understanding of SQL/MP, Enscribe, COBOL copybooks, packed decimals, fixed-width files, and batch data processing. • Ability to translate legacy data structures into relational/cloud-native target models. Data Quality & Reconciliation • Strong experience with source-to-target reconciliation. • Ability to design validation rules, exception handling, and audit reports. • Experience in financial, transactional, or regulatory data validation is preferred. AI & Agile Experience • Exposure to AI-assisted data migration, data profiling, or ETL generation. • Experience working in Agile / Scrum / SAFe delivery models. • Ability to work in sprint-based, wave-based, and evidence-driven delivery structures. Core Data & ETL Skills • Strong experience in ETL / ELT architecture and enterprise data migration. • Hands-on experience with large-scale data migration from legacy platforms to cloud. • Strong knowledge of data mapping, profiling, transformation, reconciliation, and validation. • Experience designing repeatable and audit-ready ETL frameworks. Azure Data Platform Skills • Azure Data Factory • ADLS Gen2 • Azure SQL / SQL Managed Instance • SQL Server • Data pipelines and staging layers • Monitoring and pipeline failure handling Legacy Data Skills • Experience with mainframe or HP NonStop data migration is preferred. • Understanding of SQL/MP, Enscribe, COBOL copybooks, packed decimals, fixed-width files, and batch data processing. • Ability to translate legacy data structures into relational/cloud-native target models. Data Quality & Reconciliation • Strong experience with source-to-target reconciliation. • Ability to design validation rules, exception handling, and audit reports. • Experience in financial, transactional, or regulatory data validation is preferred. AI & Agile Experience • Exposure to AI-assisted data migration, data profiling, or ETL generation. • Experience working in Agile / Scrum / SAFe delivery models. • Ability to work in sprint-based, wave-based, and evidence-driven delivery structures. Core Data & ETL Skills • Strong experience in ETL / ELT architecture and enterprise data migration. • Hands-on experience with large-scale data migration from legacy platforms to cloud. • Strong knowledge of data mapping, profiling, transformation, reconciliation, and validation. • Experience designing repeatable and audit-ready ETL frameworks. Azure Data Platform Skills • Azure Data Factory • ADLS Gen2 • Azure SQL / SQL Managed Instance • SQL Server • Data pipelines and staging layers • Monitoring and pipeline failure handling Legacy Data Skills • Experience with mainframe or HP NonStop data migration is preferred. • Understanding of SQL/MP, Enscribe, COBOL copybooks, packed decimals, fixed-width files, and batch data processing. • Ability to translate legacy data structures into relational/cloud-native target models. Data Quality & Reconciliation • Strong experience with source-to-target reconciliation. • Ability to design validation rules, exception handling, and audit reports. • Experience in financial, transactional, or regulatory data validation is preferred. AI & Agile Experience • Exposure to AI-assisted data migration, data profiling, or ETL generation. • Experience working in Agile / Scrum / SAFe delivery models. • Ability to work in sprint-based, wave-based, and evidence-driven delivery structures.