Job
Description
You are a highly skilled and motivated QA professional with expertise in ETL Testing, data governance, and cloud data platforms. Your role involves driving QA delivery for large-scale data initiatives, ensuring compliance with governance standards, and validating data accuracy across AWS and Snowflake platforms. - Lead QA delivery across ETL, data warehouse, Snowflake, and AWS-based data projects to ensure high data accuracy and reliability. - Define and implement test strategies, governance frameworks, and best practices for ETL and Data Testing. - Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation where applicable. - Collaborate with business stakeholders, product owners via (RALLY), and data governance teams to ensure requirements and acceptance criteria are fully met. - Drive compliance with data governance, data quality, and regulatory standards. - Manage stakeholder expectations by providing test plans, dashboards, and progress updates. - Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments. Qualifications Required: - 5+ years of QA experience. - Strong expertise in ETL testing, data profiling, and data warehouse/migration testing. - Proficiency in SQL with the ability to write advanced queries for large-scale data validation. - Hands-on experience with Snowflake and AWS cloud data services (S3, Redshift, Glue, Lambda, etc.). - Working knowledge of ETL tools (Informatica, Talend, DataStage, SSIS, or similar). - Experience with Rally/Agile Central for Agile project management and QA delivery tracking. - Solid understanding of data governance, metadata management, and data quality frameworks. - Familiarity with test management tools (JIRA, HP ALM, TestRail). Good to Have: - Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks). - Knowledge of BI and reporting tools (Tableau, Power BI, Qlik). - Experience with data lineage, data cataloging tools, and master data management (MDM). - Certifications in AWS, Snowflake, or ISTQB/Data Testing are a plus. (Note: Insurance experience is a plus) You are a highly skilled and motivated QA professional with expertise in ETL Testing, data governance, and cloud data platforms. Your role involves driving QA delivery for large-scale data initiatives, ensuring compliance with governance standards, and validating data accuracy across AWS and Snowflake platforms. - Lead QA delivery across ETL, data warehouse, Snowflake, and AWS-based data projects to ensure high data accuracy and reliability. - Define and implement test strategies, governance frameworks, and best practices for ETL and Data Testing. - Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation where applicable. - Collaborate with business stakeholders, product owners via (RALLY), and data governance teams to ensure requirements and acceptance criteria are fully met. - Drive compliance with data governance, data quality, and regulatory standards. - Manage stakeholder expectations by providing test plans, dashboards, and progress updates. - Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments. Qualifications Required: - 5+ years of QA experience. - Strong expertise in ETL testing, data profiling, and data warehouse/migration testing. - Proficiency in SQL with the ability to write advanced queries for large-scale data validation. - Hands-on experience with Snowflake and AWS cloud data services (S3, Redshift, Glue, Lambda, etc.). - Working knowledge of ETL tools (Informatica, Talend, DataStage, SSIS, or similar). - Experience with Rally/Agile Central for Agile project management and QA delivery tracking. - Solid understanding of data governance, metadata management, and data quality frameworks. - Familiarity with test management tools (JIRA, HP ALM, TestRail). Good to Have: - Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks). - Knowledge of BI and reporting tools (Tableau, Power BI, Qlik). - Experience with data lineage, data cataloging tools, and master data management (MDM). - Certifications in AWS, Snowflake, or ISTQB/Data Testing are a plus. (Note: Insurance experience is a plus)
