The ideal candidate should be passionate about ensuring data accuracy, validating ETL/data pipelines, and testing BI reports while working closely with data engineering and analytics teams.
About the role
Junior Data QE Engineer
Experience: 3+ Years Location: Chennai / Pune (Hybrid – 3 Days WFO) Open Positions: 4 Notice Period: Immediate to 15 Days Preferred
Payroll of Haparz
Job Description
We are looking for a Junior Data QE Engineer with hands-on experience in data quality testing, SQL validation, and automated data validation frameworks . The ideal candidate should be passionate about ensuring data accuracy, validating ETL/data pipelines, and testing BI reports while working closely with data engineering and analytics teams.
Roles & Responsibilities
Validate data across source, staging, and target systems using SQL.
Perform end-to-end data quality testing for ETL and data pipelines.
Create and maintain automated data validation tests using modern data quality frameworks.
Validate dashboards and BI reports against source data.
Analyze data discrepancies and work with engineering teams for resolution.
Develop reusable test cases and regression test suites for data products.
Execute functional and data validation testing during releases.
Participate in defect triage, root cause analysis, and quality improvement initiatives.
Collaborate with Data Engineers, QA Engineers, and Business stakeholders to ensure data accuracy.
Required Skills
Strong SQL and database validation experience.
Hands-on experience in Data Testing.
Automated data validation using Great Expectations , dbt Tests , or Soda .
BI Report Validation (Power BI, Tableau, or similar).
ETL/Data Pipeline Testing.
Data Quality Assurance methodologies.
Defect tracking and test management tools.
Strong analytical and debugging skills.
Work Location: Hybrid remote in Chennai, Tamil Nadu (Chennai, Chennai District)