8 12 years (with strong Backend & ETL testing leadership)
Job Summary:We are seeking an experienced QA Lead Backend ETL to lead quality assurance activities for data-intensive backend systems. The ideal candidate will have deep expertise in ETL testing, data validation, SQL, and backend APIs , along with strong leadership skills to manage QA teams, define test strategies, and ensure data accuracy, integrity, and performance across enterprise platforms.
Key Responsibilities:Lead QA strategy, planning, and execution for Backend and ETL systems
Own ETL testing for data warehouses, data lakes, and reporting systems
Validate data extraction, transformation, and loading processes across source and target systems
Perform data reconciliation, data quality checks, and data integrity validation
Design and review test plans, test cases, and test scenarios for backend and ETL workflows
Execute and guide SQL-based testing (complex joins, stored procedures, functions)
Lead API testing (REST/SOAP) using tools like Postman, Swagger, or similar
Coordinate system, integration, regression, and UAT testing
Ensure testing coverage for batch jobs, schedules, error handling, and recovery scenarios
Identify, track, and manage defects using JIRA / ALM / Azure DevOps
Collaborate closely with Data Engineers, Developers, Business Analysts, and Product Owners
Mentor QA team members and conduct reviews for test deliverables
Drive process improvements, QA best practices, and automation feasibility
Ensure compliance with data governance, security, and regulatory standards
Strong experience in Backend & ETL Testing
Excellent knowledge of SQL (Oracle, SQL Server, PostgreSQL, MySQL, Snowflake, etc.)
Hands-on experience with ETL tools such as:
Informatica
Talend
DataStage
SSIS
Azure Data Factory / AWS Glue (cloud-based ETL)
Experience testing Data Warehouses, Data Lakes, and BI systems
Strong understanding of data models, schemas, mappings, and transformations
Experience with API testing and backend services
Knowledge of Unix/Linux commands and log analysis
Exposure to performance and volume testing for large datasets
Test Management: JIRA, ALM, Azure DevOps
API Testing: Postman, SOAP UI
Databases: Oracle, SQL Server, Snowflake, PostgreSQL, MySQL
Version Control: Git
Reporting/BI (good to have): Power BI, Tableau, Looker
Proven experience leading QA teams (onshore/offshore)
Strong analytical and problem-solving skills
Excellent communication and stakeholder management
Ability to translate business requirements into effective test strategies
Experience working in Agile / Scrum environments
Automation exposure (Python, Java, Selenium for backend validation)
Cloud data platform experience (AWS, Azure, GCP)
Knowledge of data compliance standards (GDPR, HIPAA if applicable)
Bachelor's or Master's degree in Computer Science, Engineering, or related field
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