DescriptionEverlytics is looking for an experienced QA Lead to spearhead quality assurance across complex end-to-end data pipelines, modern data engineering workflows, and large-scale analytical platforms. We are looking for someone with deep expertise in testing orchestrated data flows, data lakehouse architectures, and mission-critical insurance/BFSI systems.

Technologies• Manual & Automation Testing, Python (pytest/unittest), SQL, Apache Airflow (DAGs & Pipeline Orchestration), API Testing, ETL/ELT & Data Lakehouse Testing, Great Expectations / Soda Core (Data Quality), OpenMetadata (Governance & Lineage), Apache JMeter / Locust (Performance), CI/CD Tools (GitHub Actions, Jenkins), Test Management & Defect Tracking (Jira, Kiwi TCMS, Confluence), and Agile/Scrum methodologies.

Experience Required
• 5+ years of experience in software testing and quality assurance leadership, focusing on test planning, execution, defect management, and coordinating end-to-end testing for data platforms.
• Specialized BFSI & Insurance Domain Expertise:



Proven experience testing insurance core platforms, policy administration systems, claims processing pipelines, risk scoring models, and financial/actuarial data flows. Strong understanding of insurance industry regulations, data accuracy, auditability, and compliance standards.
• E2E Data Pipeline & Lakehouse Testing: Strong experience testing contemporary data architectures, covering source ingestion, transformations, and consumption layers.
• Hands-on Technical Validation: Expertise in SQL-based data validation, source-to-target reconciliation, pipeline dependency tracing, and identifying anomalies across automated workflows.
• Proven QA Governance: Experience defining test strategies, test scenarios, data acceptance criteria, entry/exit criteria, and release readiness gates.
• Cross-Functional Collaboration: Track record of managing defect lifecycles, test metrics, execution reports, stakeholder communication, and business sign-offs in

📌 QA Lead – Data Engineering, ETL (India)
🏢 Everlytics Data Science Pte
📍 India