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Urgent! QA - Python Job | tek analytix

QA Python



Job 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

  • Bachelor's 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.


Required Skill Profession

Other General



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