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Data QA Engineer

Luxoft

Dadri

On-site

INR 10,00,000 - 15,00,000

Full time

Yesterday
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Job summary

A leading tech solutions provider is looking for an experienced Software Quality Assurance professional in India to create an automation framework for data warehousing testing. The ideal candidate should possess a Bachelor's degree in IT or related fields, along with 8+ years of QA experience, strong skills in ETL concepts, data migration testing, and automation using Python. The role requires collaboration with stakeholders and extensive testing of data to ensure quality and reliability.

Qualifications

  • 8+ years' experience in Software Quality Assurance.
  • Extensive knowledge in ETL concepts and technologies.
  • Proficient in data automation using Python.
  • High proficiency in writing complex SQL queries.

Responsibilities

  • Analyze and document test data and results.
  • Perform functional and non-functional testing.
  • Conduct smoke, integration, and regression testing.
  • Collaborate with stakeholders to understand testing needs.
  • Ensure automated test scripts meet project requirements.

Skills

Software Quality Assurance experience
ETL concepts & technologies
Data migration testing
Data warehouse testing
BI Reporting
Data automation using Python
Complex SQL queries
Relational database models
Software test automation tools
Atlassian tools (Jira and Confluence)

Education

Bachelor's Degree in IT, Business, Computer Science, or related field

Tools

Azure Data Factory
Azure Databricks
Azure Notebooks
Cosmos DB
Docker
Azure DevOps
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
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