We run a multi-client analytics pipeline delivering BI-ready data to clients across e-
commerce and advertising platforms. This role owns quality assurance across the
pipeline — from automated testing to data certification before it reaches dashboards.
Responsibilities
Automation
• Build and maintain automated test suites covering data pipelines end-to-end
(build, transform, delivery stages)
• Develop reusable QA frameworks/scripts to reduce manual validation effort
across clients
• Integrate quality checks into CI/CD so regressions are caught pre-merge, not
post-deploy
• Automate recurring reconciliation checks (source vs. output row counts, metric
totals, freshness)
Data Quality Testing
• Design and implement data quality tests: uniqueness, referential integrity,
null/completeness checks, accepted-value ranges, freshness SLAs
• Validate new features/models against production data before release
• Investigate and triage test failures — distinguish genuine data quality issues from
pipeline/build failures
• Maintain test coverage documentation and flag gaps as recent data sources/clients
onboard
Data Certification
• Own the certification process for new client onboarding and new model releases
— sign-off before dashboards go live
• Define and enforce certification checklists (schema validation, metric
reconciliation vs. source, historical trend sanity checks)
• Partner with data engineers to resolve certification blockers
• Maintain an audit trail of certification decisions for compliance/traceability
Cross-functional
• Work closely with data engineers to translate QA findings into actionable fixes
• Communicate data quality risks and certification status clearly to stakeholders
• Contribute to continuous improvement of QA standards and best practices
across the team
Requirements
• 6+ years in QA/data quality roles, with hands-on SQL experience
• Experience testing data pipelines/ETL systems (any modern stack)
• Familiarity with data testing framewor