Senior Level Quality Assurance Engineer
Location: Noida, India
Department: Product Engineering - Cloud and Digital
Experience: 8+
Skills: ETL, SQL
Role Summary
Key Responsibilities
- Own QA strategy and execution for enterprise integration initiatives, including Airflow implementation.
- Design and execute tests for API, ETL, batch, and file-based workflows across upstream and downstream systems.
- Build automated validation assets as testing progresses, including SQL checks, reconciliation queries, Python-based data-validation scripts, API test suites, and reusable regression utilities.
- Use AI coding assistants (e.g., Codex, Claude Code) to accelerate automation, data-analysis utilities, test scaffolding, and repeatable QA assets, while validating all generated output for correctness and maintainability.
- Validate source-to-target mappings, transformations, business rules, ledger impacts, exception handling, duplicate prevention, rerun safety, and operational controls.
- Test Airflow DAG behavior, including scheduling, dependencies, retries, failure handling, backfills, parameterization, and reruns.
- Partner with business and technical stakeholders to clarify requirements, identify gaps, and proactively surface risks before they become production issues.
- Support release readiness, cutover validation, post-deployment verification, and production-issue triage.
Required Qualifications
- 6+ years of QA experience, with a strong emphasis on integration, ETL, data, financial-systems, or enterprise-platform testing.
- Strong SQL skills and experience validating data transformations, reconciliations, balancing, completeness, and accuracy.
- Hands-on experience testing APIs, file-based integrations, and batch or workflow-driven processes.
- Strong automation mindset, with experience creating scripts, utilities, or frameworks to automate testing and validation as part of day-to-day QA execution.
- Demonstrated ability to use AI-assisted coding tools (e.g., Codex, Claude Code) to accelerate automation and technical QA work.
- Ability to read, review, and validate code or scripts, especially in Python (or similar languages).
- Strong written and verbal communication skills.
- Proactive working style; does not wait to be told every next step.
- Comfortable asking questions and challenging unclear assumptions early.
- Quick learner who can ramp up rapidly on new systems, workflows, and business processes.
Preferred Qualifications
- Experience with Airflow or similar workflow-orchestration tools.
- Experience with accounting, treasury, capital markets, bank files, ERP, or general-ledger systems.
- Familiarity with containers, logging, CI/CD pipelines, SonarQube, Docker, and/or Kubernetes.
- Experience supporting vendor implementations or complex enterprise system upgrades.
- Experience in mortgage, lending, fintech, or financial-services environments.
What Success Looks Like
- Builds automation while testing—not after the fact.
- Catches integration, reconciliation, and control issues early.
- Uses AI tools to move faster, but never blindly trusts generated code or test logic.
- Communicates risks clearly and drives alignment amid ambiguous requirements.
- Becomes a force multiplier for both testing speed and test depth.
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