– Senior QA Engineer (ETL & Data Testing)Position Details
Job Title: Senior QA Engineer – ETL & Data Testing
Experience: 5+ Years
Location: Hyderabad / Ahmedabad / Indore
Employment Type: Full-Time
About the Role
We are looking for an experienced Senior QA Engineer (ETL & Data Testing) who is passionate about ensuring data quality, integrity, and accuracy across enterprise data platforms.
The ideal candidate should possess strong expertise in ETL Testing, SQL, Data Validation, Python, Automation Testing, and BI Testing, along with exposure to cloud technologies and modern data engineering practices.
This role requires a detail-oriented professional who can validate complex data transformations, support automation initiatives, and collaborate with cross-functional teams in an Agile environment.
Key Responsibilities
Execute ETL and data validation testing for enterprise data integration projects.
Validate source-to-target data mappings, transformations, and data quality.
Perform testing of BI reports and dashboards to ensure data accuracy and consistency.
Develop and execute test cases, test plans, and test scenarios based on business requirements.
Maintain test execution status and provide regular progress updates.
Identify, log, track, and verify defects through closure.
Create and maintain automation scripts using Python for:
Data comparison
Regression testing
Data validation
Support integration of automation scripts into CI/CD pipelines.
Perform regression, functional, integration, and system testing.
Work closely with Development, Data Engineering, and Business teams.
Continuously improve QA processes and testing efficiency.
Utilize AI-powered productivity tools to improve testing effectiveness.
Required Qualifications
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Minimum 5 years of experience in Software Testing with strong exposure to ETL and Data Testing.
Good understanding of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
Experience working in Agile development environments.
Mandatory Skills
ETL Testing
Data Validation
SQL
Python
Selenium
Automation Testing
BI Testing
Power BI
GitHub
CI/CD Pipelines
Azure (Basic Knowledge)
Microsoft Fabric
Data Warehouse Concepts
Lakehouse Concepts
Data Comparison Testing
Regression Testing
Test Case Design
Defect Tracking
Agile Methodology
SDLC & STLC
Preferred Skills
Candidates with experience in one or more of the following will be preferred:
Microsoft Fabric
Azure Data Platform
Data Warehouse
Lakehouse Architecture
Data Pipelines
Incremental Data Loads
Enterprise Data Platforms
AI-assisted Testing Tools
Git Version Control
CI/CD Automation
Technical Requirements
Candidates should have hands-on experience in:
ETL Testing
SQL Query Writing
Source-to-Target Data Validation
Data Comparison Techniques
Automation using Python
Selenium Automation
BI Report Testing
Power BI Validation
GitHub
CI/CD Pipelines
Azure Environment
Agile Testing
Ideal Candidate Profile The ideal candidate should:
Possess strong analytical and problem-solving skills.
Have experience validating complex data transformations.
Be proficient in SQL and data validation techniques.
Demonstrate experience with automation testing using Python and Selenium.
Be comfortable working in Agile teams.
Have excellent communication and collaboration skills.
Be self-driven, detail-oriented, and quality-focused.
Be eager to learn emerging technologies and AI-powered testing tools.
Take ownership of assigned tasks and deliver high-quality outcomes.
Why Join This Opportunity?
Work on enterprise-scale data engineering and analytics projects.
Collaborate with experienced engineering and QA professionals.
Gain exposure to modern cloud, AI, and data technologies.
Prospect for continuous learning, certification support, and professional growth.
Flexible work culture with strong focus on employee development.
Inclusive, collaborative, and innovation-driven work environment.
Interested candidate can share resume here -
[email protected]
📌 ?HIRING Sr. QA Location | Hyderabad| Ahemdabad | Indore (Bengaluru)
🏢 AppZime Technologies
📍 Bengaluru