Lean Solutions Group

Senior QA Engineer

Lean Solutions Group Colombia

Technology, Information and Internet · 1,001-5,000 employees

Oct 06
Remote qa Senior (5-10 yrs) Full-time Colombia
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About the role

The Quality Engineer will design and execute comprehensive testing strategies for enterprise data pipelines and products built on Microsoft Fabric. They are responsible for validating data transformations, business logic, and data quality across the Medallion Architecture.

What they look for

Quality Engineering Data QA Data Engineering SQL Microsoft Fabric ETL/ELT Data Pipelines KQL Azure Data Factory Databricks Medallion Architecture Test Automation AI-assisted tools Data Validation Root-cause investigation Communication skills

Requirements

Candidates must have senior-level experience in Data QA or Data Engineering with strong proficiency in SQL and cloud-based data platforms. Experience with AI coding assistants and Azure-native services is required to support modern quality engineering practices.

Benefits

Professional development opportunities Mentorship programs Career path programs

Full 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 a multitude of opportunities for professionals to elevate their careers and experience substantial growth. Joining our team means engaging with expansive engineering teams across Latin America, Philippines and the United States, contributing to cutting-edge developments in multiple industries.

 

Position Title: QA Engineer Automation 

Category: Quality Assurance & Testing

Seniority: Senior

Location: LATAM

 

What you will be doing:

We are seeking a Quality Automation Engineer (QE) – Microsoft Fabric to ensure the accuracy, completeness, reliability, and overall quality of enterprise data pipelines and data products built on Microsoft Fabric.

The Quality Engineer will be responsible for designing and executing comprehensive testing strategies across data ingestion, transformation, aggregation, and end-to-end data pipelines. This role will validate KQL and SQL-based transformations, business logic, data reconciliation, and data quality across a Medallion Architecture (Bronze, Silver, and Gold).

The ideal candidate combines strong data engineering and testing skills with a modern AI-enabled quality engineering mindset, using AI-assisted tools to accelerate test development, defect analysis, root-cause investigation, and technical documentation.

Required Skills & Experience

  • Senior-level experience in Quality Engineering, Data QA, Data Engineering QA, or a closely related discipline. testing data pipelines, ETL/ELT processes, and data transformations.
  • Mid-to-senior level SQL proficiency, including the ability to write complex queries for:
  • Data validation
  • Reconciliation
  • Aggregation verification
  • Duplicate detection
  • Completeness checks
  • Transformation validation
  • Root-cause investigation
  • Demonstrated experience designing and executing data-focused test strategies rather than solely application/UI testing.
  • Experience with test automation frameworks, automated data validation, or QA automation.
  • Experience working with cloud-based data platforms and data-processing services.
  • Experience using an AI coding/development assistant such as Cursor, GitHub Copilot, Kiro, Amazon Q Developer, or a comparable tool for debugging, test development, code analysis, or technical documentation.
  • Should have experience with the individual Azure-native services that make up the Fabric capabilities (i.e. Azure Data Factory, Azure Notebook, Databricks, etc.).
  • Familiarity with Medallion Architecture (Bronze, Silver, Gold).
  • Optional Experience testing pipelines implemented with KQL.

 

Soft Skills

  • Strong analytical and troubleshooting skills.
  • Ability to work independently and within a team environment.
  • Strong communication skills with the ability to articulate, diagram and document complex engineering concepts.

 

Why you will love GTS:

  • Join a powerful tech workforce and help us change the world through technology
  • Professional development opportunities with international customers
  • Collaborative work environment
  • Career path and mentorship programs that will lead to new levels.

Join GTS and contribute to shaping the data landscape within a dynamic and growing organization. Your skills will be honed, and your contributions will play a vital role in our continued success. GTS is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

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