๐งช Role Overview: QA Engineer โ ETL & Cloud Data Platforms
This is a senior-level QA position designed for professionals with deep expertise in ETL testing, data governance, and cloud ecosystems like AWS and Snowflake. Youโll lead quality assurance efforts for large-scale data initiatives, ensuring data accuracy, compliance, and automation across modern data pipelines.
๐ Key Responsibilities
- QA Leadership & Strategy
- Lead QA delivery across ETL, data warehouse, Snowflake, and AWS projects
- Define test strategies and governance frameworks for data testing
- Data Validation & Testing
- Perform profiling, reconciliation, and transformation testing using SQL and automation
- Validate large-scale data accuracy across platforms
- Collaboration & Compliance
- Work with stakeholders via Rally and governance teams to meet acceptance criteria
- Ensure compliance with data governance and regulatory standards
- Reporting & Automation
- Provide test plans, dashboards, and progress updates
- Partner with DevOps to enhance automation in AWS/Snowflake environments
๐ง Required Skills & Experience
| Category | Requirements |
|---|
| Experience | 5+ years in QA, with strong ETL/data testing |
| SQL Proficiency | Advanced query writing for large-scale validation |
| Cloud Platforms | Hands-on with AWS (S3, Redshift, Glue, Lambda) and Snowflake |
| ETL Tools | Informatica, Talend, DataStage, SSIS, or similar |
| Agile Project Management | Experience with Rally/Agile Central |
| Data Governance | Strong understanding of metadata, lineage, and quality frameworks |
| Test Management Tools | Familiarity with JIRA, HP ALM, TestRail |
๐ Preferred Qualifications
- Python-based or custom automation frameworks for ETL testing
- BI/reporting tools: Tableau, Power BI, Qlik
- Experience with data cataloging, lineage, and MDM
- Certifications: AWS, Snowflake, ISTQB/Data Testing
- Domain experience in insurance
๐ผ Ideal Candidate Traits
- Analytical mindset with attention to detail
- Strong communicator and stakeholder manager
- Passionate about data integrity and governance
- Proactive in driving automation and continuous improvement