Quality Assurance Engineer – Data

🔥 17 minutes ago

🇺🇦 Ukraine – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Atlas Technica

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

🔒 Cybersecurity

💸 Finance

Cybersecurity • Finance

Atlas Technica is a strategic partner for the Alternative Investment Industry, providing outsourced IT services focused on technological excellence. The company offers a range of services including designing IT infrastructure for optimal performance, scalability, and cost-efficiency, ensuring alignment with business objectives. Atlas Technica also specializes in cybersecurity solutions to protect against cyber threats and ensure compliance with industry regulations. As a 'Public Cloud First' company, Atlas Technica provides cloud transformation services that enhance agility, flexibility, and resource accessibility. By focusing on multi-layered security protocols, they safeguard sensitive investment data, ensuring confidentiality and integrity for their clients.

📋 Description

• Define and implement QA processes, testing standards, quality controls, and release gates for Data and Business Intelligence solutions • Design and execute test plans across ETL and ELT pipelines, Data Warehouse solutions, Power BI reports, and embedded reporting applications • Validate data accuracy, completeness, consistency, transformation logic, and business rules across source systems, data pipelines, semantic models, and reporting layers • Perform source-to-target validation, data reconciliation, integration testing, regression testing, and end-to-end testing • Test Power BI reports, semantic models, DAX calculations, Power Query transformations, dashboards, and reporting functionality • Validate complex KPIs, business metrics, calculations, aggregations, and reporting logic against business requirements and expected outcomes • Validate Row-Level Security, customer data isolation, access controls, and other security-related functionality within embedded analytics solutions • Investigate data-quality issues, perform root cause analysis, document defects, and collaborate with technical teams through resolution and validation • Participate in requirements reviews, solution-design discussions, and data-model validation to identify quality risks early • Create and maintain test plans, test cases, defect reports, testing procedures, QA metrics, and supporting quality documentation • Partner with Data Engineers, Power BI Developers, and business stakeholders to improve data quality and release readiness • Drive continuous improvement of QA practices and promote a quality-first approach across data and analytics development

🎯 Requirements

• 5+ years of overall quality assurance experience across Software QA, Automation QA, Data QA, or other quality-focused roles, including 3+ years of experience in Data QA, ETL testing, Data Warehouse testing, or BI testing • Demonstrated experience establishing QA processes, test strategies, testing standards, or quality-control practices • Strong SQL skills, including developing complex queries for data validation, reconciliation, troubleshooting, and testing • Experience testing ETL/ELT pipelines, data transformations, and integration processes • Strong understanding of Data Warehouse concepts and dimensional modeling, including star and snowflake schemas • Experience testing Power BI reports, semantic models, dashboards, DAX calculations, and related reporting functionality • Experience testing Power BI Embedded or comparable customer-facing analytics solutions • Strong understanding of data accuracy, completeness, consistency, business-rule validation, and source-to-target reconciliation • Strong analytical, troubleshooting, documentation, and communication skills with excellent attention to detail • Ability to collaborate effectively with Data Engineers, BI Developers, technical stakeholders, and business partners • English proficiency at B2 level or higher • Desirable: experience validating historical data models and Slowly Changing Dimensions (SCD) • Desirable: experience with CI/CD pipelines and Azure DevOps • Desirable: familiarity with data monitoring, data freshness validation, and ongoing data-quality controls • Desirable: knowledge of Power BI REST APIs, report lineage, metadata validation, or related Power BI administration capabilities • Desirable: experience with performance, scalability, access-control, or security testing of analytics solutions • Desirable: experience working within Agile environments such as Scrum or Kanban • Desirable: Microsoft Azure, Power BI, Data Engineering, Quality Assurance, or related technical certifications

🏖️ Benefits

• Competitive salary • Comprehensive benefits • Great perks • Professional and career development opportunities • Professional yet friendly work environment