Roles and responsibilities: Design and implement automated test strategies for ETL pipelines, data transformations, and integrations. Develop and maintain automated test scripts for data validation, reconciliation, and regression testing. Validate source-to-target data mappings and ensure data accuracy and completeness. Work closely with ETL developers, data engineers, and business analysts to understand requirements and test objectives. Build reusable test assets and automation frameworks for continuous integration and delivery (CI/CD). Identify, document, and track defects and data anomalies through to resolution. Monitor and validate scheduled ETL jobs and automated processes in various environments. Contribute to QA best practices and standards in data testing and automation. Mandatory Skills: 12+ years of experience in ETL/Data Warehouse QA with a focus on automation. Strong experience in writing complex SQL queries for data validation and testing. Hands-on experience with ETL tools (e.g., SSIS, Informatica, Talend, etc.). Proficiency in QA automation tools (e.g., Selenium, Python, Postman, or custom ETL test frameworks). Experience with Snowflake, Redshift, or other cloud-based data warehouses is a plus. Understanding of data profiling, data lineage, and data quality checks. Familiarity with CI/CD pipelines and version control tools (e.g., Git, Jenkins). Strong analytical and troubleshooting skills. Javen Technologies
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