Our client is a globally recognized professional services and technology consulting organization delivering innovative solutions in digital transformation cloud data artificial intelligence cybersecurity and business operations. With a strong presence across multiple industries the company is known for its collaborative work culture cutting-edge technologies and commitment to developing talent while helping organizations solve complex business challenges.
Job Overview
We are seeking a Senior Quality Engineer to ensure the quality accuracy and reliability of data and analytics solutions through comprehensive testing and automation. The ideal candidate will validate data pipelines reports and dashboards while collaborating with cross-functional teams to deliver high-quality data-driven solutions.
Key Responsibilities
Develop test strategies test plans and test cases for data and analytics solutions.
Validate data models ETL processes reports and dashboards to ensure accuracy and consistency.
Perform data validation regression testing and automation using Python and SQL.
Identify document and support the resolution of data quality issues.
Maintain testing documentation and ensure traceability using Jira and Confluence.
Collaborate with development and data engineering teams in an Agile environment.
Contribute to continuous improvements in quality engineering and testing processes.
Qualifications
Bachelors Degree in Computer Science Information Technology Data Science or a related field.
13 years of experience in Software Quality Engineering or Data Quality Engineering.
Strong knowledge of SQL and working knowledge of Python for test automation or data validation.
Good understanding of software testing methodologies ETL/BI testing and Agile practices.
Familiarity with Jira Confluence and cloud data platforms such as GCP is an advantage.
Strong analytical problem-solving communication and collaboration skills.
High attention to detail with a commitment to delivering quality solutions.
Interested candidates may send their CV to
About the Client Our client is a globally recognized professional services and technology consulting organization delivering innovative solutions in digital transformation cloud data artificial intelligence cybersecurity and business operations. With a strong presence across multiple industries the ...
About the Client
Our client is a globally recognized professional services and technology consulting organization delivering innovative solutions in digital transformation cloud data artificial intelligence cybersecurity and business operations. With a strong presence across multiple industries the company is known for its collaborative work culture cutting-edge technologies and commitment to developing talent while helping organizations solve complex business challenges.
Job Overview
We are seeking a Senior Quality Engineer to ensure the quality accuracy and reliability of data and analytics solutions through comprehensive testing and automation. The ideal candidate will validate data pipelines reports and dashboards while collaborating with cross-functional teams to deliver high-quality data-driven solutions.
Key Responsibilities
Develop test strategies test plans and test cases for data and analytics solutions.
Validate data models ETL processes reports and dashboards to ensure accuracy and consistency.
Perform data validation regression testing and automation using Python and SQL.
Identify document and support the resolution of data quality issues.
Maintain testing documentation and ensure traceability using Jira and Confluence.
Collaborate with development and data engineering teams in an Agile environment.
Contribute to continuous improvements in quality engineering and testing processes.
Qualifications
Bachelors Degree in Computer Science Information Technology Data Science or a related field.
13 years of experience in Software Quality Engineering or Data Quality Engineering.
Strong knowledge of SQL and working knowledge of Python for test automation or data validation.
Good understanding of software testing methodologies ETL/BI testing and Agile practices.
Familiarity with Jira Confluence and cloud data platforms such as GCP is an advantage.
Strong analytical problem-solving communication and collaboration skills.
High attention to detail with a commitment to delivering quality solutions.