Actowiz Solutions
Website:
actowizsolutions.com
Job details:
Actowiz Solutions
QA Team Lead (Web Scraping & Data Extraction)
3 - 6 years
Ahmedabad
Full-Time
About Actowiz Solutions
Actowiz Solutions is a leading provider of web scraping, data extraction, and market intelligence solutions. We help global enterprises collect, process, and deliver structured data from eCommerce, Quick Commerce, Retail, Travel, Food Delivery, Automotive, Real Estate, and other digital platforms.
We are looking for an experienced
QA Team Lead who can lead a team of QA Engineers, ensure high-quality client deliveries, improve QA processes, and collaborate closely with developers and project managers to maintain exceptional data quality across multiple web scraping projects.
Role Overview
As a QA Team Lead, you will be responsible for leading day-to-day QA activities across multiple web scraping and data extraction projects. You will mentor QA Engineers, establish testing standards, review deliverables, identify process improvements, and ensure that every client delivery meets the required quality benchmarks.
The ideal candidate should possess strong leadership skills, excellent analytical abilities, and hands-on experience validating large-scale scraped datasets.
Key Responsibilities
Team Leadership
- Lead, mentor, and guide a team of QA Engineers.
- Assign QA tasks and monitor daily progress.
- Conduct regular knowledge-sharing sessions and team training.
- Review team performance and provide constructive feedback.
- Support recruitment, onboarding, and mentoring of new QA team members.
Data Quality Assurance
- Validate datasets for:
- Accuracy
- Completeness
- Freshness
- Consistency
- Formatting
- Duplicate records
- Review client deliverables before submission.
- Ensure adherence to project-specific validation checklists and SOPs.
- Verify data against client requirements and acceptance criteria.
Testing & Validation
- Prepare detailed test plans and test cases for scraping projects.
- Perform functional and regression testing of web scrapers and APIs.
- Validate parser outputs after website structure changes.
- Identify missing fields, incorrect mappings, duplicate records, and formatting inconsistencies.
- Perform sanity checks before production deliveries.
Scraper Validation
- Test web scraping applications, crawlers, APIs, and ETL pipelines.
- Monitor scraping performance and data quality after deployments.
- Validate outputs across multiple websites and data sources.
- Coordinate with developers to resolve extraction and parsing issues.
Process Improvement
- Improve QA processes, validation methodologies, and checklists.
- Identify recurring issues and recommend preventive actions.
- Maintain documentation for QA processes and project-specific validations.
- Drive continuous improvements in delivery quality and efficiency.
Reporting & Coordination
- Coordinate with Project Managers, Developers, Business Analysts, and Delivery teams.
- Track QA progress across multiple projects.
- Prepare daily, weekly, and monthly QA reports.
- Escalate critical quality issues and project risks proactively.
- Ensure project deliveries meet defined SLAs and timelines.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 3–6 years of experience in Software Testing or Quality Assurance.
- Minimum 2 years of experience leading a QA team.
- Experience working on web scraping, data extraction, or data validation projects.
- Strong analytical, problem-solving, and leadership skills.
- Excellent communication and stakeholder management abilities.
Technical Skills
Must Have
- Strong understanding of:
- HTML
- DOM
- XPath
- CSS Selectors
- JSON
- XML
- Hands-on experience with:
- SQL
- REST APIs
- Data validation techniques
- Experience testing:
- Web Scrapers
- Crawlers
- APIs
- ETL Pipelines
- Familiarity with Agile and Scrum methodologies.
- Strong understanding of Excel and large dataset validation.
Preferred Skills
- Basic knowledge of Python scripting for QA automation.
- Experience with distributed web scraping frameworks.
- Understanding of proxy management and anti-bot mechanisms.
- Experience working with cloud platforms such as AWS or GCP.
- Exposure to automated data validation frameworks.
- Experience in a Web Scraping, Market Intelligence, or Data-as-a-Service (DaaS) company.
Leadership Expectations
The QA Team Lead Should Be Capable Of:
- Managing a team of QA Engineers effectively.
- Handling multiple client projects simultaneously.
- Ensuring on-time project deliveries with high quality.
- Mentoring junior QA team members.
- Coordinating effectively with cross-functional teams.
- Driving continuous process improvements within the QA function.
Key Performance Indicators (KPIs)
- Data Accuracy (%)
- First-Time Right (FTR)
- Defect Leakage Rate
- Production Defects
- On-Time Delivery
- SLA Compliance
- Team Productivity
- Quality Audit Score
- Client Acceptance Rate
- Root Cause Closure Rate
- QA Documentation Compliance
- Client Satisfaction (CSAT)
Why Join Actowiz Solutions?
- Work on global web scraping and market intelligence projects.
- Lead a talented and growing QA team.
- Gain exposure to cutting-edge data extraction technologies.
- Enjoy continuous learning and career advancement opportunities.
- Be part of a collaborative, innovation-driven work environment.
If you have a passion for quality, leadership, and large-scale data validation, we would love to have you join the Actowiz Solutions team.
Required Skills
aws quality assurance data-as-a-service webscraping gcp python data validation
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About Actowiz Solutions
Actowiz Solutions is a leading provider of web scraping, data extraction, and market intelligence solutions. We help global enterprises collect, process, and deliver structured data from eCommerce, Quick Commerce, Retail, Travel, Food Delivery, Automotive, Real Estate, and other digital platforms.
We are looking for an experienced
QA Team Lead who can lead a team of QA Engineers, ensure high-quality client deliveries, improve QA processes, and collaborate closely with developers and project managers to maintain exceptional data quality across multiple web scraping projects.
Role Overview
As a QA Team Lead, you will be responsible for leading day-to-day QA activities across multiple web scraping and data extraction projects. You will mentor QA Engineers, establish testing standards, review deliverables, identify process improvements, and ensure that every client delivery meets the required quality benchmarks.
The ideal candidate should possess strong leadership skills, excellent analytical abilities, and hands-on experience validating large-scale scraped datasets.
Key Responsibilities
Team Leadership
- Lead, mentor, and guide a team of QA Engineers.
- Assign QA tasks and monitor daily progress.
- Conduct regular knowledge-sharing sessions and team training.
- Review team performance and provide constructive feedback.
- Support recruitment, onboarding, and mentoring of new QA team members.
Data Quality Assurance
- Validate datasets for:
- Accuracy
- Completeness
- Freshness
- Consistency
- Formatting
- Duplicate records
- Review client deliverables before submission.
- Ensure adherence to project-specific validation checklists and SOPs.
- Verify data against client requirements and acceptance criteria.
Testing & Validation
- Prepare detailed test plans and test cases for scraping projects.
- Perform functional and regression testing of web scrapers and APIs.
- Validate parser outputs after website structure changes.
- Identify missing fields, incorrect mappings, duplicate records, and formatting inconsistencies.
- Perform sanity checks before production deliveries.
Scraper Validation
- Test web scraping applications, crawlers, APIs, and ETL pipelines.
- Monitor scraping performance and data quality after deployments.
- Validate outputs across multiple websites and data sources.
- Coordinate with developers to resolve extraction and parsing issues.
Process Improvement
- Improve QA processes, validation methodologies, and checklists.
- Identify recurring issues and recommend preventive actions.
- Maintain documentation for QA processes and project-specific validations.
- Drive continuous improvements in delivery quality and efficiency.
Reporting & Coordination
- Coordinate with Project Managers, Developers, Business Analysts, and Delivery teams.
- Track QA progress across multiple projects.
- Prepare daily, weekly, and monthly QA reports.
- Escalate critical quality issues and project risks proactively.
- Ensure project deliveries meet defined SLAs and timelines.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 3–6 years of experience in Software Testing or Quality Assurance.
- Minimum 2 years of experience leading a QA team.
- Experience working on web scraping, data extraction, or data validation projects.
- Strong analytical, problem-solving, and leadership skills.
- Excellent communication and stakeholder management abilities.
Technical Skills
Must Have
- Strong understanding of:
- HTML
- DOM
- XPath
- CSS Selectors
- JSON
- XML
- Hands-on experience with:
- SQL
- REST APIs
- Data validation techniques
- Experience testing:
- Web Scrapers
- Crawlers
- APIs
- ETL Pipelines
- Familiarity with Agile and Scrum methodologies.
- Strong understanding of Excel and large dataset validation.
Preferred Skills
- Basic knowledge of Python scripting for QA automation.
- Experience with distributed web scraping frameworks.
- Understanding of proxy management and anti-bot mechanisms.
- Experience working with cloud platforms such as AWS or GCP.
- Exposure to automated data validation frameworks.
- Experience in a Web Scraping, Market Intelligence, or Data-as-a-Service (DaaS) company.
Leadership Expectations
The QA Team Lead Should Be Capable Of:
- Managing a team of QA Engineers effectively.
- Handling multiple client projects simultaneously.
- Ensuring on-time project deliveries with high quality.
- Mentoring junior QA team members.
- Coordinating effectively with cross-functional teams.
- Driving continuous process improvements within the QA function.
Key Performance Indicators (KPIs)
- Data Accuracy (%)
- First-Time Right (FTR)
- Defect Leakage Rate
- Production Defects
- On-Time Delivery
- SLA Compliance
- Team Productivity
- Quality Audit Score
- Client Acceptance Rate
- Root Cause Closure Rate
- QA Documentation Compliance
- Client Satisfaction (CSAT)
Why Join Actowiz Solutions?
- Work on global web scraping and market intelligence projects.
- Lead a talented and growing QA team.
- Gain exposure to cutting-edge data extraction technologies.
- Enjoy continuous learning and career advancement opportunities.
- Be part of a collaborative, innovation-driven work environment.
If you have a passion for quality, leadership, and large-scale data validation, we would love to have you join the Actowiz Solutions team.
Click on Apply to know more.