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ETL Lead - Data || Offshore

India · Staff/Principal

Good timing - competition is buildingVerified listingPosted 15d ago

Applicants who checked fit first are 3.1× more likely to hear back

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86Overall
64Skills
97Experience

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What we know about this role

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Our tracked job listings for fa-etvl-saasfaprod1-cx1 show limited recent activity.

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First 72 hours

Window passed - posted 15d ago

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The first time we've seen this listing - it hasn't been closed and reopened.

Skills required

13 listed
Azure Data FactoryData MigrationData MappingData StructuresException HandlingData ProfilingExtract Transform Load (ETL)Microsoft Azure+5 more
Azure Data FactoryData MigrationData MappingData StructuresException Handling

You almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.

Job description

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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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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