Quality Assurance Engineer
Actively Reviewing the ApplicationsOneMagnify
India
Full-Time
On-site
Posted 2 weeks ago
•
Apply by June 7, 2026
Job Description
OneMagnify is a global performance marketing organization working at the intersection of brand marketing, technology, and analytics. The Company’s core offerings accelerate business, amplify real-time results, and help set their clients apart from their competitors. OneMagnify partners with clients to design, implement and manage marketing and brand strategies using analytical and predictive data models that provide valuable customer insights to drive higher levels of sales conversion.
OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.
The Quality Assurance Engineer partners with Engineering, Data, and Development teams to ensure client requirements are implemented correctly and reliably across high volume data pipelines. This role reviews requirements, designs test strategies, and executes automated and manual validation—emphasizing shift left practices and repeatable automation. Candidates are former developers or Software Development Engineer in Test (SDET) who can effectively test large datasets, craft complex SQL for data comparisons, and collaborate within a single, shared sprint cadence.
Essential Duties And Responsibilities
We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.
About Us
Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team
OneMagnify’s commitment to employee growth and development extends far beyond typical approaches. We take great pride in fostering an environment where each of our 700+ colleagues can thrive and achieve their personal best. OneMagnify has been recognized as a Top Workplace, Best Workplace and Cool Workplace in the United States for 10 consecutive years and recently was recognized as a Top Workplace in India.
The Quality Assurance Engineer partners with Engineering, Data, and Development teams to ensure client requirements are implemented correctly and reliably across high volume data pipelines. This role reviews requirements, designs test strategies, and executes automated and manual validation—emphasizing shift left practices and repeatable automation. Candidates are former developers or Software Development Engineer in Test (SDET) who can effectively test large datasets, craft complex SQL for data comparisons, and collaborate within a single, shared sprint cadence.
Essential Duties And Responsibilities
- Configure, implement, and maintain automated testing frameworks for data and API validation (DBT tests, Pytest, SQL validators).
- Translate JIRA user stories and acceptance criteria into comprehensive test plans, scenarios, and data validation scripts.
- Ensure requirements traceability by mapping test cases and validation scripts directly to client requirements and acceptance criteria, maintaining clear documentation throughout the lifecycle.
- Design and execute unit, integration, smoke, regression, and end to end tests aligned to the recommended QA & automation framework.
- Validate large datasets for completeness, accuracy, timeliness, lineage, and schema conformance, author complex SQL for data comparison.
- Coordinate with Engineering to enable shift left testing — QA participates in grooming, planning, and daily standups; quality is a shared responsibility.
- Assist with user acceptance testing (UAT) and production validation, including post release smoke testing and regression cycles.
- Analyze test outputs, identify defects, document issues, and drive root cause analysis; champion environment parity (VAL mirrors PROD).
- Contribute to release governance: freeze windows, QA gates, rollback plans, and release logs; ensure test evidence is captured.
- Continuously improve tools, templates, and processes; propose JIRA automation to auto create QA stories from engineering stories.
- Develop domain knowledge of client data products, pipelines, integrations, and KPIs.
- Maintain comprehensive test documentation, including test cases, scripts, and results, to support audits and compliance.
- Conduct performance and security testing as required to ensure robust, scalable, and secure solutions.
- Advocate for user experience and usability in all testing activities.
- This position requires availability to work a consistent daily schedule from 5 pm IST to 1:30 am IST and will need to adjust for Daylight savings time.
- Active participant in Agile ceremonies (grooming, planning, standups, demos, retros) within a single, shared sprint cadence.
- Story readiness includes defined test criteria and data availability; QA estimates tracked alongside development.
- Promote predictable velocity by integrating automated tests into CI; definition of done includes “tested and validated.”
- Stay current with emerging QA tools, technologies, and best practices; proactively recommend improvements to processes and frameworks.
- Former software developer or SDET with hands on coding experience (Python preferred).
- Expertise in SQL and relational databases; able to design complex validation queries for large datasets.
- Demonstrated experience testing data pipelines, ETL/ELT workflows, and APIs in high volume environments.
- Practical knowledge of Airflow (or similar orchestration), DBT, and CI systems; experience validating DAG executions.
- Proficiency with automated testing tools (Selenium/Cucumber/Playwright for UI where applicable; Pytest for services; DBT for data).
- Proficiency with version control systems (e.g., Git) and defect tracking tools (e.g., Jira, Azure DevOps).
- Experience with JIRA and Agile development methodology; comfortable with shared sprint delivery.
- Strong critical thinking; challenges ambiguous requirements and drives clarity in acceptance criteria.
- Excellent communication skills; able to partner with Product Owners and Engineers to define testable stories.
- Experience with live event data, broadcast schedules, media assets, or fan engagement platforms.
- Experience with big data validation (Snowflake/BigQuery/Redshift) and performance testing of queries at scale.
- Familiarity with API contract testing, data lineage tools, and dataset comparison frameworks.
- ISTQB or equivalent certification is a plus.
- Experience with cloud-based data
We offer a comprehensive benefits package including Medical Insurance, PF, Gratuity, paid holidays, and more.
About Us
Whether it’s awareness, advocacy, engagement, or efficacy, we move brands forward with work that connects with audiences and delivers results. Through meaningful analytics, engaging communications and innovative technology solutions, we help clients tackle their most ambitious projects and overcome their biggest challenges.
We are an equal opportunity employer
We believe that Innovative ideas and solutions start with unique perspectives. That’s why we’re committed to providing every employee a workplace that’s free of discrimination and intolerance. We’re proud to be an equal opportunity employer and actively search for like-minded people to join our team
Required Skills
Communication
Sales
Engineering
Documentation
Control Systems
Git
Agile
Automation
Compliance
Jira
Python
Root Cause Analysis
SQL
Critical Thinking
Snowflake
BigQuery
Azure
Azure DevOps
Airflow
ETL
KPIs
DevOps
Automated Testing
Agile development
Testing
Selenium
Windows
Analytics
Data Lineage
Validation
Governance
Regression
Customer insights
Test cases
DBT
Cucumber
Auto
Savings
Orchestration
Version control
Performance Testing
Brand marketing
Data products
User Acceptance Testing
Data models
Usability
Security Testing
Version control systems
Predictive
Big Data
Test documentation
Performance Marketing
Cadence
Schema
Relational
Defect Tracking
Data validation
Traceability
Mapping
Smoke
Sales conversion
Domain Knowledge
Data pipelines
Testing frameworks
UAT
Smoke testing
Broadcast
User Acceptance
Development Methodology
AGILE development methodology
Automated tests
Testing tools
Data availability
Framework
PyTest
API validation
Relational databases
Automation framework
Grooming
Contract testing
Defect
Test Plans
Rollback
ELT
User Stories
Production Validation
RedShift
SDET
Defect tracking Tools
Agile ceremonies
Acceptance Testing
ELT workflows
Automated Testing Tools
Performance and security testing
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