Data QA Engineer

Role: Data QA - MS Fabric & Power BI (Levels: Midd & Senior)

Education: Bachelor’s Degree in Information Technologies or related engineering.Languages: Fluent Conversational English (speaking, reading, writing)" Level: B2, C1, C2, FluentModality: Home Office 100 %Location: MéxicoWorkday: Monday - Friday

Monthly Gross Salary: $ 25,000 MXN - $65,000 MXN (On base to experience)

Hiring: 100 % Payroll

Contract: Project - Log Term (at least 1 year)

Benefits

• IMSS
• 12 Vacation Days per Year
• 15 Days of Christmas Bonus
• 25 % Vacation Bonus
• Life Insurance

Plus Benefits

• Online Technical Trainings
• Access to Academies & Certifications

Job Stability & Professional Development

Technical Skills

Essential

• Fabric or equivalent product
• Lakehouse
• Notebooks (validate & test)
• Semantic Models
• Power BI
• Pyspark
• SQL
• ETL
• Python
• Dashboards
• Connect Test Report
• Test Data
• Validated Data Pipeline
• Testing Data Pipeline
• Data Loaded
• Data Warehousing
• Data Science
• Data Testing
• Data Testing
• Data Analytics

Plus

• Microsoft Fabric
• Data Governance
• Real-Time Analytics - Intelligence
• Data Architecture (define)
• Test Architecture
• UAT

Qualifications & Responsibilities

• Strong understanding SQL & data-comparison skills.
• Ability to document defects clearly with reproducible steps & expected/actual results.
• Comfort testing web/reporting interfaces & validating data outputs.
• Support semantic-model & report testing, including filters, measures, relationships, refresh behavior & user-facing results.
• Maintain test-case libraries, coverage matrices & defect records.
• Data Pipelines & TransformationExperience with data/analytics testing, rather than only traditional UI or application testing.
• Understand testing at an architectural/data level, including data pipelines, transformations, semantic models, Power BI datasets/reports & data validation.
• Should be comfortable identifying where testing needs to happen across the data and analytics architecture, not simply testing the final dashboard.
• Understand how to test changes without breaking existing reports, datasets, or downstream analytics.
• Define the testing approach/framework, not just execute test cases.
• Demonstrate strong architectural understanding, especially at the data/analytics level.

Nice to Have

• Experience Pharma or clinical industriesMicrosoft Fabric or equivalent (Azure Data Factory, Databricks, Snowflake)

Soft Skills

• Logical Thinking Results-Oriented ApproachStrong CommunicationOrganizationFollow-ThroughTeamwork