Data QA Engineer
Job Summary
Job Description
- Bachelor's Degree in IT/related field
- 5+ years QA experience
- Extensive ETL & Data Warehouse testing experience
- Proficient in Python & complex SQL queries (Azure Data Bricks)
- Experience with software test automation tools
- Agile & Waterfall experience
- Atlassian tools (Jira, Confluence)
- Azure Data Factory experience
- Azure Databricks & Notebooks experience
- Cosmos DB experience
- CI/CD experience (Azure DevOps, Docker)
- ISTQB Certification
- Finance industry experience
15 skills required
Job Details
Project description
Working within the client's test and government framework, you will be responsible for creating the automation framework to support all data warehousing progression and regression testing and fix the defects.
Responsibilities
Analyse and document test data , results, and recommendations.
Perform functional and non-functional testing for data validation between source and target DBs as per the business requirements using relevant Azure components such as Azure bricks, Azure Notebooks, Azure functions and Azure data factories .
Conduct smoke, integration, regression, and other tests on products under development and released.
Collaborate with developers, business analysts, and users to understand testing needs and identify opportunities for automation and testing.
Ensure that automated test scripts are created, maintained, and executed to:
Meet all data Project deliverables and project testing requirements.
Create test and training data.
Support integrated testing.
Contribute to the continuous improvement of test quality by undertaking reviews and recommending improvements.
Skills
Must have
Bachelor’s Degree in IT, Business, Computer Science, or a related field
Software Quality Assurance professional with 5+ years' experience
Extensive experience with ETL concepts & technologies, Data migration testing, Data ware house testing and BI Reporting
Extensive experience in data automation using Python
High level of Proficiency in writing complex SQL queries in Azure data bricks from Business requirements to read data from source DB hosted in Azure and compare it with target DB
Proficiency in relational database models, SQL queries, XML data models
Extensive experience with software test automation tools and working in fast-paced Agile environments
Good knowledge of testing lifecycle processes
Experience with Atlassian tools (Jira and Confluence) and integrating them into automation testing frameworks
Good communication and presentation skills
Experience in Waterfall and Agile environments
Nice to have
Experience with Azure Data Factory for pipeline execution and analysis
Experience with Azure Databricks to access data from Azure Data Lakes
Experience with Azure Notebooks
Experience with Cosmos DB
Experience in creating end-to-end CI/CD solutions using tools such as Azure DevOps, Docker, and containerization tools
ISTQB Certification.
Experience in the finance industry is highly desirable.
Other
Languages
English: C2 Proficient
Seniority
Senior
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About The Company
Luxoft, a DXC Technology Company (NYSE: DXC), is a digital strategy and software engineering firm providing bespoke technology solutions that drive business change for customers the world over. Acquired by U.S. company DXC Technology in 2019, Luxoft is a global operation in 44 cities and 21 countries with an international, agile workforce of nearly 18,000 people. It combines a unique blend of engineering excellence and deep industry expertise, helping over 425 global clients innovate in the areas of automotive, financial services, travel and hospitality, healthcare, life sciences, media and telecommunications.
DXC Technology is a leading Fortune 500 IT services company which helps global companies run their mission critical systems. Together, DXC and Luxoft offer a differentiated customer-value proposition for digital transformation by combining Luxoft’s front-end digital capabilities with DXC’s expertise in IT modernization and integration. Follow our profile for regular updates and insights into technology and business needs.
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