
Quality Assurance Engineer – Data
Posted Oct 16

Posted Oct 16
This is a fully remote position, open to applicants in Ukraine.
• Establish and execute QA processes, testing standards, quality controls, and release thresholds for Data and Business Intelligence solutions.
• Create and implement test plans for ETL and ELT pipelines, Data Warehouse solutions, Power BI reports, and embedded reporting applications.
• Ensure data accuracy, completeness, consistency, transformation logic, and adherence to business rules across source systems, data pipelines, semantic models, and reporting layers.
• Conduct source-to-target validation, data reconciliation, integration testing, regression testing, and comprehensive end-to-end testing.
• Test Power BI reports, semantic models, DAX calculations, Power Query transformations, dashboards, and reporting functionalities.
• Validate intricate KPIs, business metrics, calculations, aggregations, and reporting logic against business requirements and anticipated outcomes.
• Confirm Row-Level Security, customer data isolation, access controls, and other security-related functionalities within embedded analytics solutions.
• Examine data-quality issues, perform root cause analysis, document defects, and collaborate with technical teams for resolution and validation.
• Engage in requirements reviews, solution-design discussions, and data-model validation to proactively identify quality risks.
• Develop and maintain test plans, test cases, defect reports, testing procedures, QA metrics, and supporting quality documentation.
• Collaborate with Data Engineers, Power BI Developers, and business stakeholders to enhance data quality and ensure release readiness.
• Foster continuous improvement of QA practices and advocate for a quality-first mindset throughout data and analytics development.
• Over 5 years of experience in quality assurance, encompassing Software QA, Automation QA, Data QA, or other quality-centric roles, including at least 3 years in Data QA, ETL testing, Data Warehouse testing, or BI testing.
• Proven track record of establishing QA processes, test strategies, testing standards, or quality-control practices.
• Proficient SQL skills, including the ability to develop complex queries for data validation, reconciliation, troubleshooting, and testing.
• Experience in testing ETL/ELT pipelines, data transformations, and integration processes.
• Strong comprehension of Data Warehouse concepts and dimensional modeling, including star and snowflake schemas.
• Familiarity with testing Power BI reports, semantic models, dashboards, DAX calculations, and associated reporting functionalities.
• Experience with Power BI Embedded or similar customer-facing analytics solutions.
• In-depth understanding of data accuracy, completeness, consistency, business-rule validation, and source-to-target reconciliation.
• Exceptional analytical, troubleshooting, documentation, and communication skills with a keen attention to detail.
• Ability to work collaboratively with Data Engineers, BI Developers, technical stakeholders, and business partners.
• Proficient in English at a B2 level or higher.
• Preferred: experience in validating historical data models and Slowly Changing Dimensions (SCD).
• Preferred: familiarity with CI/CD pipelines and Azure DevOps.
• Preferred: knowledge of data monitoring, data freshness validation, and ongoing data-quality controls.
• Preferred: understanding of Power BI REST APIs, report lineage, metadata validation, or related Power BI administration capabilities.
• Preferred: experience with performance, scalability, access-control, or security testing of analytics solutions.
• Preferred: experience within Agile environments such as Scrum or Kanban.
• Preferred: certifications in Microsoft Azure, Power BI, Data Engineering, Quality Assurance, or related technical fields.
• Competitive salary.
• Comprehensive benefits.
• Great perks.
• Opportunities for professional and career development.
• A professional yet friendly work environment.
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