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Pearson VUE

Quality Assurance Engineer III

Pearson VUE

Data Quality/ETL Test Engineer focusing on data integration and analytics at Pearson in Chennai. Collaborating with engineers and analysts to ensure data quality and reliability in solutions.

Posted 6/22/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
BigQueryCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact
  • Execute ETL and data warehouse testing for data pipelines and analytics solutions.
  • Perform data analysis, reconciliation, and validation testing across source and target systems.
  • Write and execute complex SQL queries to validate data transformations based on business rules.
  • Prepare and maintain test strategies, test plans, test cases, and related QA documentation.
  • Validate data for accuracy, completeness, consistency, and timeliness.
  • Identify, log, and track defects, and actively participate in defect triage discussions with development and data engineering teams.
  • Develop and maintain Python automation scripts for repetitive data validation and regression testing.
  • Execute data validation and testing on Google Cloud Platform, with a strong focus on BigQuery datasets.
  • Understand business requirements and translate them into effective data test scenarios.
  • Communicate test progress, defects, and data quality risks clearly to stakeholders and project teams.
  • Support UAT, production validations, and post-release data verification when required.

Requirements

What you’ll need
  • Strong understanding of ETL processes, data warehousing concepts, and relational databases.
  • Experience in data analysis and data testing within analytics or reporting environments.
  • Proficiency in writing complex SQL queries for data validation and troubleshooting.
  • Hands-on experience with Google Cloud Platform (GCP) and BigQuery.
  • Working knowledge of Python for test automation and data validation.
  • Experience using defect tracking tools (e.g., JIRA or similar).
  • Experience creating test strategies, test cases, test scenarios, and supporting documents.
  • Good understanding of data quality checks and ETL testing types such as source-to-target, transformation, and reconciliation testing.

Benefits

Comp & perks
  • Health insurance
  • Flexible work arrangements
  • Professional development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ETLdata warehousingSQLdata analysisdata validationPythontest automationdata quality checksdefect trackingreconciliation testing
Soft Skills
communicationcollaborationproblem-solvingattention to detailstakeholder management