Experience: 3–5 Years
Location: Remote
email to apply : hrd@pharynxai.com
Job Summary
We are looking for a skilled QA Engineer with strong Data QA experience to support data validation and reporting platforms. The ideal candidate should have hands-on experience in validating data accuracy, integrity, consistency, and cross-system reconciliation to ensure high-quality reporting outputs.
Key Responsibilities
- Perform data validation and quality checks across multiple systems used for reporting platforms.
- Validate data accuracy, completeness, and consistency between source systems and reporting outputs.
- Write and execute SQL queries to validate and analyze data across databases.
- Conduct data reconciliation activities, including record counts, aggregates, and variance analysis.
- Validate data transformations, ETL processes, and business rules used in reporting pipelines.
- Verify report calculations by comparing reporting outputs with backend or source system data.
- Identify data discrepancies, anomalies, and root causes, and work with development teams for resolution.
- Collaborate with data engineers, analysts, and reporting teams to ensure high data quality standards.
- Document test cases, validation processes, and QA results.
Required Skills
- Strong experience in Data QA / Data Validation / Reporting QA.
- Hands-on experience writing SQL queries for data validation.
- Experience performing data reconciliation and variance analysis.
- Understanding of data transformations, ETL pipelines, and reporting workflows.
- Experience validating report calculations and dashboard outputs.
- Strong analytical and problem-solving skills.
- Good documentation and communication skills.
Preferred Skills
- Experience working with reporting platforms (Power BI, Tableau, or similar tools).
- Familiarity with data warehousing concepts.
- Experience in Agile/Scrum environments.
Education
- Bachelor’s degree in Computer Science, Information Technology, or related field.
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