Senior QA Engineer, Market Data

ICE; Hyderabad; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Intercontinental Exchange, Inc. (ICE) invites an experienced Senior QA Engineer to join its Market Data team. You will design and execute comprehensive tests for market data systems, validate feed ingestion, reference data, and downstream publishing, and drive QA improvements across the SDLC.

Strong analytical and collaboration skills are essential in a fast-paced, globally distributed environment. The role emphasizes hands-on testing, data accuracy validation, and automation coverage to ensure

Qualifications

• Solid hands-on experience in Market Data or related financial data systems.
• Strong understanding of capital markets and trading workflows.
• Experience validating data quality dimensions.
• Proficient in Linux CLI and log analysis.
• SQL queries for test validation.
• Experience with SDLC and cross-functional collaboration.
• Familiarity with Jira and defect lifecycle.
• Experience with automation frameworks.

Responsibilities

• Develop and execute test plans for Market Data applications across QA, regression, integration, and end-to-end testing.
• Validate market data feed processing, reference data updates, and downstream publishing.
• Review failures, analyze logs, and verify fixes across QA/UAT/production-like environments.
• Contribute to automation by developing and maintaining automated tests.
• Collaborate with development, product, operations, and business teams to ensure quality.
• Maintain thorough test documentation and sign-offs.
• Participate in production change support and UAT validation.
• Stay current with QA practices and market data trends.

Skills

Market Data

SQL queries

Linux CLI

Test automation

Troubleshooting

Communication

Tools

Jira

Job description

Job Purpose

Intercontinental Exchange, Inc. (ICE) presents a unique opportunity to work with cutting-edge technology and solve complex business challenges in the financial sector. This Senior QA Engineer role is focused on Market Data applications and plays a key role in validating high-quality, reliable market data solutions that support trading, reporting, compliance, and downstream consumer workflows.

Job Description

Intercontinental Exchange, Inc. (ICE) presents a unique opportunity to work with cutting-edge technology and solve complex business challenges in the financial sector. This Senior QA Engineer role is focused on Market Data applications and plays a key role in validating high-quality, reliable market data solutions that support trading, reporting, compliance, and downstream consumer workflows.

The Senior QA Engineer will be responsible for designing, executing, and improving test coverage for Market Data systems. The role requires strong domain understanding of market data workflows, feed processing, reference data, trading lifecycle impacts, and validation of data accuracy, completeness, timeliness, and downstream publishing.

This position requires strong analytical skills, hands-on technical troubleshooting, excellent communication, and the ability to independently drive QA activities with minimal technical supervision.

We are seeking a highly skilled Senior QA Engineer with strong experience in Market Data systems and financial markets QA. The ideal candidate will have hands-on experience validating market data feeds, reference data changes, symbol/security lifecycle events, data dissemination, and regression coverage across complex trading and market data platforms. The successful candidate will work across the Software Development Life Cycle (SDLC), partner closely with development, product, operations, and business teams, and contribute to quality delivery in a fast-paced, team-based environment.

The role includes creating and executing test plans, test scenarios, and test cases; identifying and reporting defects; validating fixes; supporting production/UAT changes; and continuously improving QA processes, automation coverage, and test efficiency.

Responsibilities

• Develop and implement comprehensive test plans, test scenarios, and test cases for Market Data applications, including functional, regression, integration, end-to-end, and data validation coverage.
• Validate market data feed processing, reference data updates, symbol/security lifecycle events, trading session behavior, and downstream data publishing to ensure accuracy and completeness.
• Perform detailed validation of market data outputs across environments using logs, database queries, reports, and application-level checks.
• Identify, document, and report software defects using Jira or equivalent defect tracking tools, and collaborate with developers and product teams through resolution and retesting.
• Review and triage test failures, analyze logs, isolate root cause, and verify fixes across QA, UAT, and production-like environments.
• Contribute to automation coverage by developing, maintaining, and executing automated tests for regression and recurring validation activities.
• Ensure new features, enhancements, reference data changes, and bug fixes do not negatively impact existing Market Data functionality or downstream consumers.
• Collaborate with cross-functional teams involved in product delivery, including development, product management, operations, support, and business stakeholders.
• Maintain clear and concise documentation of test plans, test cases, execution results, defect evidence, and sign-off summaries.
• Participate in production change support, UAT validation, issue investigation, and service restoration activities when required.
• Stay current with QA engineering practices, market data testing approaches, automation frameworks, and financial technology trends.

Knowledge And Experience

• Solid hands-on experience in Market Data or related financial data systems, including validation of feed ingestion, data transformation, dissemination, reporting, and downstream consumption.
• Strong understanding of capital markets, trading workflows, reference data, security master concepts, symbols, instruments, sessions, and lifecycle events affecting market data behavior.
• Experience validating market data quality dimensions such as accuracy, completeness, timeliness, sequencing, entitlement/availability, and consistency across systems.
• Proficient in Linux command-line usage, including log navigation, file handling, process monitoring, grep/awk/sed usage, and troubleshooting test environment issues.
• Hands-on experience writing and executing SQL queries for test data validation, database state analysis, reconciliation, and result verification across QA environments.
• Experience with functional, regression, integration, end-to-end, smoke, and production/UAT validation in financial or trading application environments.
• Ability to analyze complex defects, identify edge cases, provide clear evidence, and communicate impact to technical and non-technical stakeholders.
• Familiarity with defect tracking and project management tools such as Jira, including managing the full bug lifecycle from identification through resolution verification.
• Experience with automation frameworks, test data preparation, regression execution, and continuous improvement of repeatable QA processes.
• Excellent communication, collaboration, and documentation skills with the ability to work effectively in a fast-paced, globally distributed team environment.

Preferred Knowledge And Experience

• Good knowledge of market data protocols, feed handlers, data distribution platforms, or exchange market data concepts.
• Experience with XDP, multicast/real-time feeds, replay/recovery concepts, order book/quote/trade data validation, or similar market data technologies is a plus.
• Exposure to FIX protocol, trading systems, Options or Equities platforms, and exchange workflows is an added advantage.
• Experience supporting production changes, UAT testing, release validation, debugging production issues, and providing impact analysis for data or reference data changes.
• Experience leveraging AI tools to improve QA productivity, including test case generation, log analysis, root cause investigation, and intelligent defect triage.
• Results-driven mindset with strong ownership, attention to detail, ability to meet tight schedules, and commitment to delivering high-quality outcomes for internal customers.