Job Summary
We are seeking an experienced ETL Tester with Automation Testing and AI exposure to support enterprise data validation and testing initiatives. The ideal candidate should have strong expertise in ETL testing, database validation, automation frameworks, and AI-driven testing approaches. The role requires strong analytical skills and hands-on experience working with large-scale data systems and modern testing methodologies.
Key Responsibilities
Perform end-to-end ETL testing for data warehouse and data migration projects.
Validate data extraction, transformation, and loading processes across multiple systems.
Develop and execute automation test scripts for ETL and data validation workflows.
Design and maintain reusable automation frameworks for regression and integration testing.
Perform source-to-target data validation and reconciliation.
Write and optimize SQL queries for backend data validation and analysis.
Collaborate with developers, business analysts, and data engineering teams to understand requirements and testing needs.
Identify, track, and resolve defects through the defect lifecycle.
Support AI-enabled testing initiatives and intelligent automation strategies.
Ensure data quality, accuracy, completeness, and integrity across platforms.
Participate in Agile ceremonies, sprint planning, and test execution activities.
Required Skills
ETL & Database Testing
Strong hands-on experience in:
ETL Testing
Data Warehouse Testing
Data Migration Validation
Source-to-Target Testing
Strong SQL expertise for data validation and analysis
Experience with databases such as:
SQL Server
Oracle
PostgreSQL
MySQL
Automation Testing
Experience with automation tools/frameworks such as:
Selenium
PyTest
TestNG
UFT
JUnit
Experience scripting in:
Python
Java
Shell scripting
AI & Modern Testing
Exposure to AI-driven testing tools and intelligent automation
Understanding of AI/ML concepts in QA and test optimization
Experience with predictive testing or GenAI-assisted QA is a plus
Additional Skills
Familiarity with:
CI/CD pipelines
Jenkins
Git
Agile/Scrum methodologies
Strong analytical and troubleshooting skills
Excellent communication and stakeholder coordination abilities
Preferred Qualifications
Experience working in enterprise data environments
Exposure to cloud platforms such as AWS or Azure
Experience with big data testing tools is a plus
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