QA Engineer

3 weeks ago

Noida Uttar Pradesh India, Ghaziabad Sonata Software Full time

Job Description Summary

We are hiring a meticulous and skilled QA Engineer with expertise in data validation, report testing, and automation. The ideal candidate will have hands-on experience testing data pipelines, Power BI dashboards, and automated data workflows, ensuring end-to-end data quality and report accuracy.


Key Responsibilities

  • Design and execute test strategies for ETL pipelines, data transformations, and BI dashboards.
  • Conduct manual and automated testing for data pipelines and reports.
  • Validate Power BI dashboards and reports for data correctness, layout integrity, and performance.
  • Automate data validations using SQL and Python (e.g., with PyTest, dbt tests, or custom scripts).
  • Perform cross-system data comparisons to ensure consistency across data layers and reports.
  • Collaborate with data engineers and analysts to understand business logic and ensure test coverage.
  • Maintain test documentation, including test plans, cases, and defect logs (e.g., in Jira).
  • Participate in agile sprints, release planning, and code reviews to embed QA early in the cycle.




Qualifications


  • Bachelor’s degree in information technology or related field; or an equivalent combination of education and experience sufficient to successfully perform the key accountabilities of the job required.
  • Exposure to Power BI DAX expressions and filters for deeper validation.
  • Experience with API testing tools (e.g., Postman, REST Assured).
  • Background in BI regression testing and automated report verification.
  • Familiarity with cloud platforms like AWS, Azure, or GCP.


Experience

  • 3–6 years in QA roles, with focus on data engineering and reporting environments.
  • Proficiency in SQL for querying and validating large datasets.
  • Experience testing Power BI reports and dashboards (or similar tools like Tableau/Looker).
  • Experience with test automation frameworks (e.g., PyTest, Selenium, dbt tests).
  • Familiarity with ETL tools, Airflow, and data warehouses like Snowflake or BigQuery.
  • Understanding data quality concepts: completeness, accuracy, consistency, freshness.
  • Experience with version control (Git), CI/CD pipelines, and issue tracking (e.g., Jira).

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