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Softtek

SDET Java Sr

Softtek Monterrey, Nuevo León, Mexico

IT Services and IT Consulting · 10,001+ employees

8 h ago
java Senior (5-10 yrs) Full-time Mexico
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About the role

Lead testing efforts for large-scale data migration and transformation initiatives across enterprise platforms. Design and execute comprehensive data validation strategies to ensure accuracy, completeness, and integrity of millions of records.

What they look for

Java SQL Data Testing ETL Validation Data Migration Data Transformation Test Engineering Automation Database Testing Data Quality Data Mapping Troubleshooting Reconciliation Test Strategy Data Engineering

Requirements

Requires over 8 years of overall QA experience with at least 5 years in data testing and 3 years in ETL validation. Candidates must possess strong skills in SQL development and automated validation scripting for complex data environments.

Full description

Test Engineer – Data Migration & Transformation Validation

8+ years of overall QA / Test Engineering experience

5+ years of hands-on Data Testing experience

3+ years of Data Migration / ETL Validation experience

  • Lead testing efforts for large-scale data transformation and migration initiatives involving millions of records across enterprise Network Operation platforms.
  • Design and execute comprehensive data validation strategies to ensure data accuracy, completeness, consistency, and integrity during migrations.
  • Develop complex SQL queries and automated validation scripts to reconcile source and target systems at scale.
  • Validate ETL/ELT processes, transformation rules, data mappings, and business logic across multiple data domains.
  • Perform end-to-end testing of batch, real-time, and incremental data migration workflows.
  • Identify, analyze, and troubleshoot data quality issues, migration defects, duplicates, missing records, and transformation anomalies.
  • Collaborate closely with data engineers, architects, business analysts, and application teams to define test strategies and acceptance criteria.
  • Generate detailed data quality metrics, reconciliation reports, and migration readiness assessments for stakeholders.
  • Drive best practices in database testing, automation, and data quality engineering to ensure successful delivery of enterprise migration programs.

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