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ETL Lead - Data || Offshore

Zensar Technologies • IT Consulting & Digital Transformation • IT Outsourcing & Dedicated Teams • SQL • COBOL • ETL/ELT • Azure Data Factory • 19 days ago
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Salary
≈ $16k – $36k per year (Estimated)
Location
In office (Pune)
Seniority
Staff

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Sep 30, 2026. Zensar Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Zensar Technologies

Zensar Technologies is an Indian technology services company founded in 1991 and part of the RPG Group, providing digital engineering, application services and infrastructure management to clients in banking, insurance, retail, manufacturing and healthcare. Its work covers experience design, cloud and data engineering, application development and maintenance, and increasingly applied artificial intelligence, delivered from centres in India, South Africa, Europe and the United States. Headquartered in Pune and listed in India, it earns a large share of revenue from North America and has been repositioning toward higher-value engineering work.
zensar.com • HQ: Pune, India • IT Outsourcing & Dedicated Teams • IT Consulting & Digital Transformation • 1001-5000 employees • Est. 1991
Tech stack of Zensar Technologies

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.
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