Senior QA Manual Data Integrity
Confirmed on the employer's own hiring board on Oct 18, 2026. First seen by Alion on Oct 16, 2026.
Description
Company Overview:
Global Technology Services is a rapidly expanding organization situated in Medellín, Colombia. We pride ourselves on possessing one of the most influential networks within software development and IT services for the entertainment, financial, and logistics sectors. Our corporate projections offer many opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America and the United States, contributing to cutting-edge developments in multiple industries.
We’re looking for a QA Engineer focused on Data Integrity to validate data accuracy and consistency within a large scale AWS modernization program. This role focuses on data behavior across databases, APIs, transformations, and integrated workflows.
Position Title: QA Engineer Data Integrity
Category: QA & Testing
Seniority: Senior
Location: Colombia and Mexico
What you will be doing:
You will define data validation scenarios, reconcile source and target results, and verify record counts, relationships, business rules, and transformation logic. You will test data changes and investigate missing, duplicated, or inconsistent records across application workflows.
You will create SQL queries and validation checks, document discrepancies, and work with engineers to verify fixes. Where data flows involve AWS Glue or event streams, you will help validate transformations, processing results, and consistency across participating systems.
Required Skills & Experience
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.
Experience in data-related testing, including ETL testing, data pipelines, and data transformation validation.
Intermediate-level SQL skills for data validation, reconciliation, and discrepancy investigation.
Understanding of data integrity concepts and data validation processes.
Knowledge of data modeling, including data structures, relationships, and integrity rules.
Experience testing APIs, including request payloads and responses.
Familiarity with JSON data structures and formats.
Ability to document test scenarios, validation results, and defects clearly.
Professional proficiency in written and spoken English.
Nice to Have Skills
Python scripting for test automation, data validation, or reconciliation.
Experience with PostgreSQL, Aurora PostgreSQL, or DynamoDB.
Experience validating AWS Glue workflows, Kafka, or Amazon MSK data streams.
Additional knowledge of data modeling and data migration validation.
Soft Skills
Strong analytical thinking and attention to data discrepancies.
Ability to explain data issues and their business impact to delivery teams.
Methodical investigation, documentation, and verification of fixes.