Senior ETL QA Engineer - Data Migration & Validation

Zohorecruit

United States

Remote

USD 90,000 - 120,000

Full time

14 days+
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Benefits offered by this job

Remote work
Health benefits
Flexible schedule

Job summary

Everest Technologies, Inc. is seeking a data-centric QA engineer for a remote backend modernization project. You will validate ETL pipelines, ensure data integrity, and automate data quality checks in collaboration with C# and Java developers.

The role focuses on migrating 30 disparate databases into a single MySQL instance, with emphasis on parity testing and scalable automation frameworks.

Qualifications

  • 7+ years writing advanced SQL queries in MySQL/SQL Server.
  • Experience testing large-scale database consolidations, data warehouse migrations, or complex ETL pipelines.
  • Hands-on experience building automated data validation scripts using Python, C#, or specialized data testing tools.

Responsibilities

  • Data Validation: Write complex SQL queries to validate ETL from legacy databases into the new MySQL instance.
  • Migration Parity Testing: Design and execute automated reconciliation scripts to compare millions of rows, ensuring data integrity.
  • Pipeline Automation: Build and maintain automated test frameworks for data pipelines with automated data quality checks.
  • API Data Verification: Verify that APIs and Data Access Layers surface migrated data correctly.
  • Defect Triage: Identify and troubleshoot data drift, truncation errors, mapping failures, and performance bottlenecks.

Skills

Deep SQL Expertise
ETL/Data Migration Testing
Test Automation
Backend Mindset
Parity Validation

Tools

Great Expectations
dbt tests
QuerySurge

Job description

Everest Technologies, Inc. is seeking a data-centric QA engineer for a remote backend modernization project. You will validate ETL pipelines, ensure data integrity, and automate data quality checks in collaboration with C# and Java developers.

The role focuses on migrating 30 disparate databases into a single MySQL instance, with emphasis on parity testing and scalable automation frameworks.

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