Data QA Engineer (Python)

Luxoft; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Luxoft in Bengaluru seeks a senior QA automation professional to design and implement a robust testing framework for data warehousing projects. You will validate data across source and target DBs using Azure components and drive automation to support regression and integration testing.

The ideal candidate has 8+ years in QA, strong SQL and Python data automation skills, and experience with Jira/Confluence in Agile environments.

Qualifications

• Minimum 8+ years in Software Quality Assurance and data testing.
• Strong ETL, data migration, and data warehouse testing expertise.
• Proficient in Python for data automation and complex SQL in Azure Databricks.
• Experience with relational databases and XML data models.
• Hands-on with Jira/Confluence integration into automation frameworks.
• Knowledge of SDLC, testing lifecycle, and Agile/Waterfall environments.

Responsibilities

• Analyze and document test data, results, and recommendations.
• Perform functional and non-functional testing for data validation between source and target databases using Azure components.
• Develop and execute automated test scripts to meet data project deliverables and testing requirements.
• Create test data and training data; support integrated testing.
• Collaborate with developers and analysts to identify automation opportunities and improve test quality.
• Review testing processes and drive continuous improvements.

Skills

Software Quality Assurance

ETL testing

Data warehousing testing

Data automation with Python

SQL querying on Azure Databricks

Relational databases & XML data models

Automation testing tools

Agile & Waterfall

Jira & Confluence

Azure DevOps & Docker

Education

Bachelor's Degree in IT/Business/CS

Tools

Azure DevOps

Docker

Job description

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

• Analyze 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 8+ years' experience
• Extensive experience with ETL concepts & technologies, Data migration testing, Data warehouse 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 the 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