ETL Quality Engineer - Alpharetta, GA

  • Alpharetta, GA
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2

Skills

Adobe
Automated Testing
Business Intelligence
Cloud Computing
Collaboration
Continuous Delivery
Continuous Integration
Dashboard
Data Integrity
Data Processing
Data Validation
Data Warehouse
ETL QA
Extract
Transform
Load
FOCUS
Quality Assurance
Reporting
Root Cause Analysis
SQL
Snow Flake Schema
Software Testing
Test Cases
Test Plans
Testing

Job Details

Job Title: ETL with Snowflake Quality Engineer (QE) Location: Alpharetta, GA (Hybrid 2-3 days onsite per week)

Job Description:
We are seeking a seasoned ETL Quality Engineer with expertise in Snowflake to join our team in Alpharetta, GA. This hybrid role requires a proactive professional with strong testing experience in data-centric environments. The ideal candidate will bring a minimum of 8 years in QA/testing roles with a strong background in data warehousing (DWaaS), ETL processes, and Snowflake.

Responsibilities:
Design, develop, and execute test plans and test cases for ETL processes and Snowflake-based data pipelines.

Validate data transformation logic, data integrity, and ensure accuracy in data processing.

Collaborate closely with data engineers, BI teams, and business analysts to define quality metrics and success criteria.

Identify, document, and track defects to resolution.

Perform root cause analysis of data issues and provide actionable feedback.

Contribute to continuous improvements in QA processes and automation strategies.

Must-Have Skills:
8+ years of hands-on experience in software testing, with a strong focus on ETL testing and Snowflake.

Deep understanding of data warehousing concepts, DWaaS, and data pipelines.

Strong SQL skills for data validation and troubleshooting.

Experience in testing BI tools, dashboards, and reporting systems.

Ability to work effectively in a collaborative and hybrid environment.

Good to Have:
Experience with Adobe Experience Platform (AEP).

Familiarity with modern CI/CD tools and test automation frameworks.

Exposure to cloud platforms and large-scale distributed data systems.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.