The demand for experienced QA Automation Engineers with expertise in Data Testing, ETL Validation, Cloud Technologies, and Test Automation continues to grow across the global EdTech industry. If you’re looking for a challenging remote opportunity where you can work on enterprise-scale data platforms, McGraw Hill is currently hiring for the Lead QA Automation Engineer position.
This role is ideal for professionals who have strong experience in Automation Testing, Data Validation, SQL, Python, Selenium/Playwright, AWS, Databricks, ETL Testing, and CI/CD pipelines. If you enjoy designing automation frameworks, validating complex data pipelines, and working with modern cloud-based analytics platforms, this opportunity deserves your attention.
📌 Job Overview
- 🏢 Company: McGraw Hill
- 💼 Position: Lead QA Automation Engineer
- 🆔 Job ID: 50439
- 📍 Location: Noida, Uttar Pradesh, India
- 🏠 Work Mode: Remote (India)
- 👨💻 Experience Required: 5+ Years
- 🎓 Qualification: Bachelor’s Degree in Computer Science, IT, Engineering, or related field
- 💻 Primary Skills: Selenium, Playwright, Python, SQL, ETL Testing, Informatica, AWS, Databricks, CI/CD, Data Validation
🌍 About McGraw Hill
McGraw Hill is one of the world’s leading education technology companies with over 130 years of history in transforming education through innovation. The company develops digital learning platforms, textbooks, AI-powered educational tools, and assessment solutions used by schools, colleges, universities, and enterprises worldwide.
Working at McGraw Hill means joining a globally recognized organization that values innovation, quality engineering, collaboration, and continuous learning while offering employees the flexibility of remote work.
⭐ Why This Role is Good for Experienced Professionals
This is much more than a traditional automation testing role.
As a Lead QA Automation Engineer, you’ll be responsible for building automation strategies that validate enterprise-scale data pipelines, ETL workflows, cloud analytics platforms, and reporting systems.
Some key benefits include:
- 🚀 100% Remote work opportunity within India
- 🌍 Opportunity to work with global engineering teams
- ☁️ Exposure to AWS Cloud, Databricks, and Data Lake technologies
- 🤖 Automation-first testing environment
- 📊 Experience with modern Data Engineering projects
- 📈 Leadership opportunities in QA Automation
- 💼 Stable global product-based company
- 📚 Excellent learning and career growth opportunities
If your goal is to become a Senior SDET, QA Architect, Data QA Lead, or Test Automation Manager, this role provides an excellent career path.
💼 Key Responsibilities
The selected candidate will be responsible for:
- ✅ Designing scalable QA Automation Frameworks
- ✅ Automating ETL pipeline validation
- ✅ Testing cloud-based data platforms
- ✅ Validating financial and operational datasets
- ✅ Performing SQL-based backend testing
- ✅ Building automated reconciliation frameworks
- ✅ Working closely with Data Engineers and Business Analysts
- ✅ Creating automation using Python, Selenium, Playwright, and pytest
- ✅ Maintaining CI/CD-integrated automation pipelines
- ✅ Managing defects using Jira
- ✅ Ensuring high-quality data delivery across analytics platforms
🛠 Skills Required
McGraw Hill is looking for professionals with strong expertise in:
Mandatory Skills
- ✔ Selenium Automation
- ✔ Playwright
- ✔ Python
- ✔ SQL
- ✔ ETL Testing
- ✔ Data Validation
- ✔ Informatica / IICS
- ✔ AWS
- ✔ Databricks
- ✔ CI/CD Pipelines
- ✔ GitHub Actions / Jenkins
- ✔ Jira
- ✔ Data Warehousing
- ✔ Data Lake Architecture
- ✔ Agile Methodology
Good to Have
- ⭐ Great Expectations
- ⭐ dbt Tests
- ⭐ Pytest
- ⭐ Cypress
- ⭐ Power BI
- ⭐ Tableau
- ⭐ Alteryx
- ⭐ Unix/Linux
- ⭐ Scala
- ⭐ Java
- ⭐ Node.js
💰 Expected Salary Range
Although McGraw Hill has not officially disclosed the compensation, based on similar Lead QA Automation Engineer roles in India, the expected package is:
| Experience | Expected CTC |
|---|---|
| 5–7 Years | ₹18–26 LPA |
| 7–9 Years | ₹24–32 LPA |
| 9+ Years | ₹30–40+ LPA |
💡 Actual salary depends on experience, interview performance, current compensation, and technical expertise.
📝 Expected Interview Rounds
Candidates can generally expect the following hiring process:
Round 1 – HR Screening
- Resume discussion
- Career overview
- Communication skills
- Salary expectations
- Notice period
Round 2 – Technical Interview (QA Automation)
Topics may include:
- Selenium
- Playwright
- Python
- SQL
- Automation Framework Design
- ETL Testing
- API Testing
- Data Validation
Round 3 – Data Engineering Discussion
Questions related to:
- Data Warehousing
- Star Schema
- SCD
- ETL Pipelines
- Databricks
- AWS Services
- SQL Optimization
Round 4 – Managerial Interview
Discussion around:
- Leadership experience
- Automation strategy
- Agile practices
- Stakeholder communication
- Problem-solving approach
Final Round – HR Discussion
- Compensation
- Offer discussion
- Joining timeline
📚 Preparation Tips
To maximize your chances of selection:
- ✅ Practice advanced SQL queries
- ✅ Revise Selenium and Playwright concepts
- ✅ Strengthen Python programming skills
- ✅ Learn ETL testing methodologies
- ✅ Understand AWS services such as Glue, Athena, Lambda, and EMR
- ✅ Review Databricks architecture
- ✅ Practice automation framework design questions
- ✅ Learn CI/CD integration using Jenkins and GitHub Actions
- ✅ Be comfortable with Agile and Jira workflows
- ✅ Prepare real project examples demonstrating automation impact
📄 Resume Tips
Before applying, ensure your resume highlights:
- ✔ QA Automation Framework Development
- ✔ Selenium / Playwright projects
- ✔ Python Automation
- ✔ SQL expertise
- ✔ ETL Testing experience
- ✔ Data Validation
- ✔ AWS & Cloud Testing
- ✔ Databricks exposure
- ✔ CI/CD implementation
- ✔ Jira and Agile experience
- ✔ Quantifiable achievements such as automation coverage, execution time reduction, or defect leakage improvements
Using measurable results makes your profile stand out to recruiters.
📩 How to Apply
👉 Application Link: Click Here
- 🆔 Job ID: 50439
- 💼 Position: Lead QA Automation Engineer
Complete your application with an updated resume highlighting your automation testing, ETL validation, cloud technologies, SQL, Python, and QA framework experience. Applying through the official careers page ensures your application reaches the recruitment team directly.
🎯 Final Thoughts
If you’re an experienced QA Automation Engineer looking to transition into a Lead Automation role focused on modern data engineering platforms, this opportunity at McGraw Hill offers an excellent combination of remote work flexibility, cutting-edge technology, and career growth. With exposure to AWS, Databricks, ETL automation, Selenium, Playwright, and CI/CD, you’ll work on impactful educational technology products used by millions of learners worldwide. If your expertise aligns with the required skills, this is a strong opportunity to advance your career with a globally respected product-based organization.
