Role Overview:
We are seeking a highly skilled and motivated Senior QA Engineer (ETL/Data) with strong expertise in ETL Testing, data governance, and cloud data platforms to drive QA delivery for large scale data initiatives.
The ideal candidate will combine hands-on ETL/data testing with leadership, stakeholder management, and delivery oversight, ensuring compliance with governance standards while validating data accuracy across AWS and Snowflake platforms.
Key Responsibilities:
- Work across ETL, data warehouse, Snowflake, and AWS-based data projects ensuring high data accuracy and reliability.
- Define and implement test strategies, governance frameworks, and AQ best practices for ETL and Data Testing
- Conduct data profiling, validation, reconciliation, and transformation testing using SQL and automation where applicable.
- Collaborate with business stakeholder’s 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.
Required Skills & Experience
- 2 - 5 years of QA experience
- Strong expertise in ETL testing, data profiling, and data warehouse/migration testing.
- Proficiency in SQL with 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.