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# A715-Quality Assurance Tester

- **Company:** F.H.R., INC.
- **Location:** Trenton, NJ, United States
- **Contract:** Temporary contract
- **Skills:** Amazon Web Services, Automation of Tests, BigQuery, Cloud Engineering, Continuous Integration, Customer Data Management, Data Validation, Information Engineering, Data Integrity, Data Warehousing, DevOps, Regression Testing, Cloud Services, Copado, Salesforce.Com, SQL Databases, Data Streaming, Cloud Platform System, Delivery Pipeline, Snowflake, Data Build Tool (dbt), Backend, Data Management
- **Published:** October 1, 2026
- **Apply:** https://www.juju.com/job/16_dbc103f62

## About the Role

Data / QA Automation Experience Required 7 Years

Advanced SQL Querying Required 7 Years

Manual Backend / Data Validation Required 7 Years

AWS Core Cloud Services Required 3 Years

Snowflake (or competitor like Databrick/BigQuery/Reshift) Required 3 Years

dbt (data build tool) Validation Highly desired 2 Years

Salesforce Data Integration Highly desired 3 Years

Copado Robotic Testing Desired 1 Years

## Description

You will own data quality and regression testing for our cloud data platform, ensuring seamless data flow and transactional consistency from our source systems into our data warehouse. This role requires a balance of building automated checks and performing hands-on manual data reconciliation to quickly isolate anomalies.

Build and maintain scalable test automation frameworks while performing strategic manual data validation across cloud data pipelines.

Write complex, high-performance SQL queries for deep-dive data reconciliation, schema validation, and end-to-end data integrity checks.

Validate transactional consistency and data object mapping between Salesforce and downstream data platforms.

Utilize automated testing tools to support Salesforce environments, with experience in Copado Robotic Testing considered a major plus.

Integrate automated quality gates and data tests directly into DevOps and CI/CD deployment pipelines.

Collaborate closely with data engineering and cloud architecture teams to troubleshoot and resolve pipeline anomalies.