[Hiring] QA Lead - Backend / ETL @RELQ Technologies

Role Description

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.

• 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

Qualifications

• 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

Requirements

• 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

Benefits

• Automation exposure (Python, Java, Selenium for backend validation)
• Cloud data platform experience (AWS, Azure, GCP)
• Knowledge of data compliance standards (GDPR, HIPAA - if applicable)

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or related field