Senior QA Engineer – Data & Analytics

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🔥 0 minutes ago

🌐 Portugal, Brazil – Remote

🇵🇹 Portugal – Remote 🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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Vigil

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📣 Marketing

Consulting • Healthcare • Marketing

Vigil is a tech consultancy company specializing in software engineering and cloud transformation. They focus on creating exceptional digital products that drive business value and are committed to innovation. Vigil values recognition, appreciation, work/life balance, and opportunities for growth, ensuring happiness and motivation for their teams. They invite clients to collaborate with them to bring projects to life.

📋 Description

• Define and implement data quality and validation strategies across data pipelines, data lakes and warehouses • Test data throughout the full lifecycle for accuracy, completeness, consistency and integrity • Validate ETL/ELT pipelines and data transformations from source systems through downstream analytics platforms • Develop and execute end-to-end data validation and reconciliation tests • Use SQL for data validation, reconciliation and investigation • Implement data contracts, schema validation and anomaly detection with engineering teams • Support data quality automation using frameworks such as Great Expectations • Perform exploratory data testing and investigate discrepancies across systems and environments • Validate BI and analytics outputs against underlying data • Support large-scale data migration testing and data integrity during cloud transitions • Define and monitor validation criteria, data freshness SLAs and quality metrics • Contribute to data observability, lineage, governance and monitoring strategies • Identify recurring data quality issues and improve processes with engineering teams • Support performance testing for query performance, scalability and reliability across data platforms • Contribute to data security, privacy and compliance testing where required • Work as part of an agile software development team with Data Engineers, Analysts, Software Engineers and other stakeholders

🎯 Requirements

• Strong professional experience in QA within data-focused projects • Hands-on experience testing data pipelines, ETL/ELT processes and data transformations • Strong SQL skills for data validation, reconciliation and troubleshooting • Understanding of data engineering workflows and data lake/warehouse architectures • Experience testing APIs, integrations and data flows in cloud environments such as GCP, AWS or Azure • Experience with data quality frameworks such as Great Expectations or similar • Experience validating data across multiple systems and identifying discrepancy root causes • Understanding of validating BI and analytics outputs using ThoughtSpot, Power BI, Looker or Tableau • Strong analytical and problem-solving skills with excellent attention to detail • Excellent communication and collaboration skills with Data Engineers, Analysts, Developers and stakeholders • Proactive quality mindset and willingness to advocate for data quality throughout the development lifecycle • Experience working in an Agile, cross-functional team • Strong verbal and written communication skills in English • Nice to have: experience testing large-scale cloud or data platform migrations, particularly Databricks-to-GCP environments • Nice to have: experience with Databricks and/or GCP • Nice to have: understanding of data observability, lineage tracking and monitoring • Nice to have: performance and scalability testing for large data platforms • Nice to have: knowledge of data governance, security and privacy best practices • Nice to have: exposure to machine learning model validation or AI testing • Nice to have: experience with large-scale or business-critical data environments

🏖️ Benefits

• Collegial environment with shared responsibility and authority • Culture focused on learning from mistakes rather than criticising failure • Agile environment where ideas are welcome • Possibility to grow and experience different projects • Ongoing training and mentoring • Possibility of travelling