Description :

Key Result Areas And Activities :

- Data Quality Assurance : Develop and implement data quality standards and processes.

- Conduct regular audits and assessments to ensure data integrity.

- Identify and resolve data discrepancies in collaboration with data teams.

- Software Testing & Validation : Create and execute detailed test plans and test cases for data validations.

- Validate data accuracy, transformation logic, and performance of reporting tools.

- Perform functional, regression, and performance testing.

- Process Improvement : Continuously refine QA processes to align with evolving project needs.

- Troubleshoot issues and adapt testing strategies accordingly.

- Reporting & Documentation : Maintain comprehensive documentation of QA processes, test results, and issue logs.

- Provide regular status updates and reports to stakeholders.

- Collaboration & Communication : Work closely with developers, analysts, and business teams to understand requirements.

- Communicate findings and recommendations effectively across technical and non-technical audiences.

Work And Technical Experience :

Must Have Skills :

- Strong understanding of QA methodologies, processes, and best practices.

- Hands-on experience in testing Python-based applications.

- Solid knowledge of SQL and working with large datasets.

- Good knowledge on using Excel and Advanced Excel for validation.

- Ability to define QA strategies and ensure end-to-end quality ownership.

- Exposure to automation testing concepts and tools (e.g., Selenium, PyTest) for future scalability.

- Strong analytical, problem-solving, and communication skills.

- Ability to design and execute comprehensive test cases.

- Effective communication and teamwork skills.

Good To Have Skill :

- Proficiency in data validation and testing of statistical or ML models.

- Experience with Agile methodologies (Scrum, Kanban) and tools like Jira.

- Knowledge of scripting languages (Python, Shell) for automation.

- Familiarity with data warehousing concepts and architecture.

- Familiarity with ETL processes, data pipelines, and APIs.

- Exposure to PowerBI.

- Experience with cloud platforms (AWS, Azure, GCP).

Qualification :

- Bachelors degree in Computer Science, Information Technology, or related field.

- 5+ years of experience in QA roles with a focus on data and BI testing.

- Relevant certifications in QA, data engineering, or BI tools are a plus.

Qualities :

- Detail-oriented with a strong focus on accuracy.

- Analytical mindset with problem-solving capabilities.

- Self-motivated and able to work independently.

- Collaborative and adaptable to team environments.

- Eager to learn and stay updated with industry trends.