Senior QA Analyst - Cloud Data Integrity & Automation Lead

Mbi Llc; Trenton (NJ); On-site; USD 110,000 - 160,000; Full time

Job summary

Mbi Llc is seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines and cloud integrations. The role balances automated testing with essential manual validation to ensure absolute data integrity across the cloud data stack.

You will own data quality and regression testing for our cloud data platform, ensuring seamless data flow and transactional consistency from source systems into our data warehouse, with a focus on automating checks and performing hands-on

Qualifications

• 7+ years of QA automation and data validation experience.
• Strong SQL skills for data reconciliation and schema validation.
• Experience with AWS core services and cloud data platforms.
• Familiarity with Snowflake or comparable data warehouses.
• Knowledge of dbt data build tool is a plus.

Responsibilities

• Validate enterprise data pipelines and cloud integrations.
• Balance automated testing with manual validation for data integrity.
• Own data quality and regression testing from source systems to data warehouse.
• Build scalable test automation frameworks and perform manual validation.
• Write complex SQL queries for data reconciliation and end-to-end checks.
• Validate data object mapping between Salesforce and downstream platforms.
• Integrate automated quality gates into DevOps and CI/CD pipelines.

Skills

Data / QA Automation

Advanced SQL querying

AWS Core Cloud Services

Snowflake

dbt Validation

Copado Robotic Testing

Tools

Copado Robotic Testing

Job description

Mbi Llc is seeking a Senior QA Analyst with 7+ years of experience to validate enterprise data pipelines and cloud integrations. The role balances automated testing with essential manual validation to ensure absolute data integrity across the cloud data stack.

You will own data quality and regression testing for our cloud data platform, ensuring seamless data flow and transactional consistency from source systems into our data warehouse, with a focus on automating checks and performing hands-on