Senior IT Software Quality Engineer
Core
Plan, execute, and continuously improve QA activities for complex data platforms and cloud-based ecosystems, performing end-to-end ETL, data workflow, functional, integration, system, regression, API, and integration testing.
Role type
Senior IC Data Quality Engineer (ETL & Cloud)
Builds
Data pipelines, integrations, and cloud-based data ecosystems on Azure
Domain
Data Engineering / Cloud Computing
Deliverable
production ML models
Required skills
Advanced SQL, Python, PySpark, Pandas, Azure Data Factory, Azure Databricks, Azure Data Lake Gen2, Azure DevOps, Postman, ETL testing, Big Data testing, Data validation, Data reconciliation, Test automation framework development
Preferred skills
AI-driven testing, Intelligent test automation, BI and reporting validation
Responsibilities
Perform end-to-end ETL, data workflow, functional, integration, system, regression, API, and integration testing; Develop and maintain reusable test automation utilities and frameworks; Manage the complete defect lifecycle including identification, root-cause analysis, prioritization, fix verification, and closure; Report test progress, results, quality metrics, risks, dependencies, blockers, and outstanding defects to technical and business stakeholders; Identify quality risks, monitor mitigation measures, support quality governance, and promote continuous improvement.
Seniority
Senior, hands-on IC