Compunnel, Inc.
We are seeking a highly skilled and motivated QA Delivery Lead with deep expertise in ETL testing, data governance, and cloud data platforms.
This role will drive QA delivery for large-scale data initiatives, combining hands-on testing with leadership and stakeholder management.
The ideal candidate will ensure compliance with governance standards while validating data accuracy across AWS and Snowflake environments.
Key Responsibilities
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 QA best practices for ETL and data validation. Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation tools. Collaborate with business stakeholders, product owners (via Rally), and data governance teams to ensure requirements and acceptance criteria are met. Drive compliance with data governance, data quality, and regulatory standards. Provide QA leadership, mentoring, and technical guidance to QA teams across multiple data projects. Manage stakeholder expectations through test plans, dashboards, and progress reporting. Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments. Required Qualifications
Minimum 10 years of QA experience, including at least 5 years in a QA lead or delivery role. 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 (e.g., S3, Redshift, Glue, Lambda). Working knowledge of ETL tools such as Informatica, Talend, DataStage, or SSIS. Experience with Rally/Agile Central for Agile project management and QA tracking. Solid understanding of data governance, metadata management, and data quality frameworks. Proven stakeholder management and delivery leadership experience. Familiarity with test management tools such as JIRA, HP ALM, or TestRail. Preferred Qualifications
Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks). Knowledge of BI and reporting tools such as Tableau, Power BI, or Qlik. Experience with data lineage, data cataloging tools, and master data management (MDM). Certifications in AWS, Snowflake, or ISTQB/Data Testing.
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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 QA best practices for ETL and data validation. Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation tools. Collaborate with business stakeholders, product owners (via Rally), and data governance teams to ensure requirements and acceptance criteria are met. Drive compliance with data governance, data quality, and regulatory standards. Provide QA leadership, mentoring, and technical guidance to QA teams across multiple data projects. Manage stakeholder expectations through test plans, dashboards, and progress reporting. Partner with DevOps and Automation teams to enhance ETL and data testing automation in AWS/Snowflake environments. Required Qualifications
Minimum 10 years of QA experience, including at least 5 years in a QA lead or delivery role. 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 (e.g., S3, Redshift, Glue, Lambda). Working knowledge of ETL tools such as Informatica, Talend, DataStage, or SSIS. Experience with Rally/Agile Central for Agile project management and QA tracking. Solid understanding of data governance, metadata management, and data quality frameworks. Proven stakeholder management and delivery leadership experience. Familiarity with test management tools such as JIRA, HP ALM, or TestRail. Preferred Qualifications
Exposure to automation frameworks for ETL testing (Python-based or custom DB validation frameworks). Knowledge of BI and reporting tools such as Tableau, Power BI, or Qlik. Experience with data lineage, data cataloging tools, and master data management (MDM). Certifications in AWS, Snowflake, or ISTQB/Data Testing.
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