QA Engineer

Posted One Month Ago
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Pune, Mahārāshtra, IND
Hybrid
Expert/Leader
Information Technology • Database • Consulting
The Role
Lead quality assurance for a financial Master Data Management platform. Design comprehensive testing strategies across APIs, data, UI, integrations, regression, and performance. Build Python automation, SQL validation frameworks, API and React workflow tests, and CI/CD regression pipelines. Validate securities and entity master data quality, including identifiers, survivorship logic, and corporate actions. Manage defects, documentation, Agile QA activities, and collaboration with developers and subject matter experts.
Summary Generated by Built In

We are looking for a Senior QA Engineer to lead quality assurance for a Master Data Management platform serving Security Master, Entity Master, and Reference Data for a leading global credit ratings organization. You will design and execute comprehensive test strategies across API, data, UI, and integration layers — ensuring data accuracy, workflow correctness, and platform stability in an Agile delivery environment.

ResponsibilitiesKey Responsibilities
  • Design and own the end-to-end test strategy for the MDM platform covering functional, data quality, API, integration, regression, and performance testing.
  • Build automated test suites for FastAPI endpoints using Python (pytest, requests, httpx) validating response correctness, authentication, and edge cases.
  • Develop data validation frameworks to verify golden record accuracy, survivorship logic, and match-merge outcomes for Security and Entity Master records.
  • Write SQL-based data validation scripts against PostgreSQL/Oracle to verify data integrity, completeness, and consistency across source and target.
  • Validate financial data quality: ISIN/CUSIP/LEI identifier accuracy, classification codes, corporate action processing, and rating linkage.
  • Perform API testing using Postman or equivalent tools; validate OpenAPI/Swagger contract compliance.
  • Test React UI workflows for data stewardship screens: search, review, approve/reject, and golden record visualization.
  • Build and maintain CI/CD-integrated automated regression test pipelines using GitHub Actions or Jenkins.
  • Design and execute performance and load tests to validate API response times and data processing throughput under financial data volumes.
  • Collaborate with the Security Master SME to develop domain-specific test cases reflecting real-world securities data scenarios.
  • Log, triage, and track defects; work closely with developers to resolve issues and validate fixes.
  • Maintain test documentation: test plans, test cases, traceability matrices, and QA reports for stakeholder review.
  • Participate in sprint planning, definition of done, and retrospectives as the QA representative.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 8–12 years of QA experience with at least 4 years focused on data or API testing in financial services.
  • Strong hands-on experience with Python-based test automation (pytest, requests, Faker).
  • Proficiency in SQL for data validation using PostgreSQL and/or Oracle.
  • Experience testing RESTful APIs (FastAPI/Flask/Spring Boot); Postman, Newman, or similar tools.
  • Hands-on experience with CI/CD-integrated test pipelines (Jenkins, GitHub Actions).
  • Familiarity with performance testing tools: Locust, JMeter, or k6.
  • Exposure to MDM, Reference Data, or financial data quality testing strongly preferred.
  • Experience with AWS environments (RDS, S3, CloudWatch) for log analysis and test environment management.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
  • 8-12 years of QA experience
  • At least 4 years of data or API testing experience in financial services
  • Hands-on experience with Python-based test automation, including pytest, requests, and Faker
  • Proficiency in SQL for data validation using PostgreSQL and/or Oracle
  • Experience testing RESTful APIs using FastAPI, Flask, Spring Boot, Postman, Newman, or similar tools
  • Hands-on experience with CI/CD-integrated test pipelines using Jenkins or GitHub Actions
  • Familiarity with performance testing tools such as Locust, JMeter, or k6
  • Exposure to MDM, reference data, or financial data quality testing
  • Experience with AWS environments, including RDS, S3, and CloudWatch

EXL Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.

  • Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
  • Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
  • Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.

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The Company
HQ: New York, NY
30,246 Employees
Year Founded: 1999

What We Do

Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.

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