Senior Quality Engineer

MindPlus (Pvt) Ltd; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

MindPlus is seeking a Senior Quality Engineer to ensure the quality, accuracy, and reliability of data and analytics solutions across data pipelines, reports, and dashboards.

You will develop test strategies, validate data models and ETL processes, perform data validation and regression testing with Python and SQL, and maintain testing documentation in Jira and Confluence within an Agile environment.

Qualifications

• Bachelor’s degree in CS, IT, Data Science, or related field.
• 1–3 years of experience in software or data quality engineering.
• Strong SQL skills; Python used for test automation or data validation.
• Solid knowledge of testing methodologies, ETL/BI testing, and Agile.
• Familiarity with Jira, Confluence, and cloud platforms like GCP.
• Strong analytical, communication, and collaboration abilities.
• Attention to detail and commitment to quality.

Responsibilities

• Develop test strategies, test plans, and test cases for data and analytics solutions.
• Validate data models, ETL processes, reports, and dashboards for 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.

Skills

SQL

Python for test automation

Agile practices

Analytical skills

Communication skills

Education

Bachelor's degree in CS/IT/Data Science

Tools

Jira

Confluence

Google Cloud Platform (GCP)

Job description

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

• Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.
• 1–3 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.