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
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
Collaborate with Data Engineers, Analysts, and Product teams to understand transformation logic and business rules
Drive QA best practices across multiple data environments

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

A remote-first environment with flexibility, autonomy, and strong cross-functional collaboration
Opportunity to support a fast-scaling SaaS company redefining the under-innovated automotive service industry

QA Automation Engineer – Data

Key skills