Senior QA Analyst
Crescens
Senior QA Analyst
Seeking a Senior QA Analyst with 7+ years of experience in enterprise data testing, quality assurance, cloud integrations, and data validation. This role is responsible for ensuring data integrity across cloud data platforms by designing automated testing solutions, performing manual data reconciliation, validating data pipelines, and supporting continuous delivery processes. The ideal candidate will have strong SQL skills, experience testing enterprise data flows, and the ability to collaborate with data engineering, cloud, and business teams.
Key Responsibilities
- Own data quality assurance and regression testing for enterprise cloud data platforms and integrations.
- Validate end-to-end data pipelines, ensuring accurate data movement from source systems into enterprise data warehouses.
- Perform manual data validation, reconciliation, and root cause analysis to identify data anomalies and integrity issues.
- Develop and maintain scalable automated testing frameworks for data validation and regression testing.
- Write complex SQL queries for:
- Data reconciliation
- Schema validation
- Data integrity checks
- Transactional consistency validation
- Validate data mapping and integration between Salesforce and downstream data platforms.
- Perform testing of data objects, transformations, workflows, and integration processes.
- Implement automated quality checks and testing processes within DevOps and CI/CD pipelines.
- Support Salesforce testing environments using automated testing tools.
- Collaborate with:
- Data Engineers
- Cloud Engineers
- Developers
- Business Analysts
- Product Owners
- Document defects, testing results, validation processes, and quality metrics.
Required Skills & Experience
- 7+ years of experience in:
- Quality Assurance (QA)
- Data Testing
- ETL Testing
- Data Validation
- Cloud Data Platforms
- Strong SQL skills with experience writing complex queries.
- Experience testing enterprise data pipelines and data warehouse solutions.
- Experience with manual and automated testing approaches.
- Strong understanding of:
- Data quality principles
- Data reconciliation
- Data mapping
- Schema validation
- Data integrity testing
- Experience validating cloud-based integrations.
- Experience working with Agile development teams.
- Experience with defect management and test documentation.
Preferred Skills
- Salesforce testing experience.
- Experience with Salesforce data integrations.
- Experience with Copado Robotic Testing (highly preferred).
- Experience with automation testing frameworks.
- Experience integrating automated tests into CI/CD pipelines.
- Experience with cloud platforms such as:
- AWS
- Azure
- Google Cloud Platform
- Experience with enterprise data warehouses and analytics platforms.
Technical Keywords for Screening
- QA & Testing: Data Testing | ETL Testing | Regression Testing | Automation Testing | Manual Testing | Test Automation Frameworks | Defect Management
- Data: SQL | Data Validation | Data Reconciliation | Data Quality | Data Integrity | Data Mapping | Schema Validation | Data Warehouse
- Cloud & Integration: Cloud Data Platforms | Data Pipelines | Salesforce Integration | API Testing | CI/CD | DevOps
- Tools (Preferred): Copado Robotic Testing | Selenium | JUnit | Python Testing Frameworks | SQL Developer | Data Warehouse Testing Tools
Required Skills
- Data / QA Automation Experience
- Advanced SQL Querying
- Manual Backend / Data Validation
- Snowflake (or competitor like Databrick/BigQuery/Reshift)
- dbt (data build tool) Validation
- Salesforce Data Integration
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