QA Automation Engineer - ETL/Database

About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The ideal candidate will have hands-on experience working with cloud-based data platforms, complex data architectures, and business intelligence solutions. The candidate will be responsible for ensuring data accuracy, integrity, consistency, reliability, and performance across enterprise data pipelines and analytical platforms. Office Location: Toronto Employment Type: Permanent Role Type: New position – current requirement Work Arrangement: Hybrid (2 days in office) Position Responsibilities: Test Automation (Mandatory) Design, develop, and maintain automated testing frameworks for database, ETL, and data pipeline validation. Develop reusable automated test scripts using Python, SQL, or equivalent technologies. Automate source-to-target reconciliation, data quality checks, schema validation, and regression testing. Integrate automated tests into CI/CD pipelines. Improve test coverage, execution efficiency, and overall QA productivity through automation Database Testing & Data Validation Design and execute comprehensive database testing strategies for complex enterprise applications. Perform advanced SQL-based validation, including complex joins, aggregations, stored procedures, and data reconciliation. Validate data integrity, completeness, accuracy, and consistency across source and target systems. Conduct backend testing using PostgreSQL and StarRocks. Identify data quality issues, transformation defects, and performance bottlenecks. ETL & Data Pipeline Testing Validate end-to-end ETL/ELT workflows, including data extraction, transformation, loading, and reconciliation. Test batch and streaming data pipelines for accuracy, completeness, and reliability. Validate transformation rules, data mappings, business logic, and aggregation calculations. Perform incremental load, full load, duplicate detection, and data consistency testing. Verify error handling, recovery mechanisms, and data pipeline dependencies. Cloud & Data Platform Testing Work with Google Cloud Platform (GCP) to validate cloud-based data processing and storage solutions. Perform data validation across PostgreSQL, StarRocks, and other enterprise data platforms. Test data ingestion, processing, transformation, and integration workflows. Collaborate with Data Engineers, Cloud Engineers, and Developers to troubleshoot data-related issues. Business Intelligence & Reporting Validation Validate Tableau dashboards, reports, KPIs, and analytical outputs. Reconcile dashboard data against underlying databases and source systems. Verify business rules, filters, aggregations, calculations, and reporting accuracy. Ensure consistency between analytical data layers and business reporting. Performance Testing (Good to have knowledge) Perform database query performance testing and optimization validation. Evaluate ETL…