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Dealership Fixed-Ops profit maximizing solutions that integrate Technology, Data Analysis, and Coaching Expertise
QA Automation Engineer, Data
Location
United States
Posted
118 days ago
Salary
$30K - $32K / year
Seniority
Senior
Job Description
QA Automation Engineer, Data
Dynatron Software, Inc.
• Design, develop, and maintain automated test frameworks for data pipelines and ETL workflows. • Build reusable test components for Snowflake, Databricks, ADF, Airflow, streaming pipelines, and more. • Automate schema validation, regression testing, backfill testing, and data contract checks. • Implement automated monitors for stream quality, lag, CDC correctness, and consistency. • Create, execute, and maintain detailed test cases, test plans, and regression suites for data enhancements. • Validate data accuracy, completeness, and integrity across ingestion, transformation, and downstream layers. • Develop SQL-based validation scripts to compare source vs. target datasets. • Perform root-cause analysis for data inconsistencies and work closely with engineering teams to resolve issues. • Partner with Data Engineers, Analysts, and Product teams to understand transformation logic and business rules. • Participate in sprint ceremonies including requirement reviews, estimations, and deployment validations. • Monitor pipeline execution, identify defects early, and verify fixes through structured retesting. • Drive QA best practices across multiple data environments.
Job Requirements
- 6-10+ years of QA Automation experience in data-intensive or analytics-driven environments.
- Strong proficiency in SQL for data validation, profiling, and regression testing.
- Hands-on experience with Python for automation scripting and data validation.
- Extensive experience testing ETL/ELT pipelines and cloud-based data workflows.
- Deep understanding of QA methodologies, test planning, defect lifecycle management, and automation principles.
- Experience with CI/CD pipelines, Git-based workflows, and automated execution environments.
- Strong analytical and troubleshooting skills for identifying data quality issues.
- Excellent written and verbal communication skills.
- Hands-on experience with Snowflake and at least one test automation framework/tool.
Benefits
- Remote-first environment with flexibility
- Autonomy
- Strong cross-functional collaboration
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