ETL Lead - Data || Offshore
Zensar Technologies · IT Services & Consulting
- India
- On-site
- Posted today
- Data & AI
About the job
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.