QA Engineer

• Validate data accuracy and ensure production readiness by working closely with the Data Engineering Manager and Analytics Engineering Lead across 18 data domains.
• Design and build a reconciliation framework to systematically compare legacy pipeline outputs against new pipeline outputs, identifying discrepancies and gaps.
• Execute structured acceptance testing for each pipeline prior to promotion to production environments.
• Validate identity resolution accuracy through rigorous analysis of match rates, false positives, and false negatives.
• Document end-to-end data lineage across all 18 domains to support auditability, transparency, and regulatory compliance.
• Build and maintain automated regression test suites to enable continuous quality assurance as pipelines evolve.

Data QA Analyst

• Validate data pipelines and ensure data quality, reliability, and consistency across modern data platforms.
• Implement automated quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers.
• Validate identity resolution outputs and investigate false positives/negatives.
• Perform end-to-end pipeline testing and document QA processes.

Data Quality Engineer

• Ensure data quality, reliability, and consistency across modern data platforms.
• Validate data pipelines and implement automated quality checks.
• Collaborate closely with Data Engineering and business teams.
• Design and implement a data quality framework across Bronze, Silver, and Gold layers.
• Build and maintain automated data quality checks within Databricks pipelines.
• Own reconciliation between source systems and Databricks layers.
• Validate identity resolution outputs in the Silver layer.
• Perform end-to-end pipeline testing.
• Partner with Data Engineers to define acceptance criteria for each sprint.
• Support UAT with client business stakeholders.
• Document all QA processes, test results, and data quality findings.
• Monitor pipeline health post-deployment.

QA Analyst, Databricks

• Collaborate closely with a team of 3 QA Engineers to ship software via Continuous Delivery (CD)
• Perform manual testing across both web and mobile platforms to ensure high-quality user experiences
• Help evaluate acceptance criteria (AC) completeness and clarity and add improvements where needed
• Write test cases and manage testing efforts using Qase Test Management (or similar tools)
• Balance multiple tasks and priorities in a fast-paced, collaborative environment
• Apply AI tools in innovative ways to drive higher productivity, improve quality, and accelerate delivery.
• Actively contribute to team conversations by identifying risks, developing test plans, and ensuring alignment on quality and coverage.

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