Lead Data Test Automation Engineer

Location: Remote in Ukraine

Company

hirify.global provides software engineering and technology services.

What you will do

• Define data test strategies, testing approaches, and testing scope across Data Engineering, Data Science, Analytics, and QA.
• Identify dependencies, prerequisites, and blockers for data test automation solutions.
• Manage data quality incidents, communicate findings and risks to clients, and drive issues toward resolution.
• Execute and monitor Apache Airflow DAG runs and validate pipeline results, processing outputs, and key metrics.
• Analyze datasets and data quality rules, implementing checks with Alation or similar tools.
• Verify Tableau reports and other Web UI results, and improve regression testing, data validation, quality standards, and automation practices.

Requirements

• Strong professional experience in Data Testing, including ETL/ELT and data pipeline testing with Apache Airflow or similar orchestration tools.
• Experience testing data-intensive applications and Big Data solutions.
• Advanced SQL skills and the ability to investigate and validate data using complex queries.
• Good Python knowledge and experience creating data validation or automation solutions with Python, Pandas, and/or PySpark.
• Experience with data quality and observability tools such as Alation, Soda, or similar solutions.
• Strong understanding of data quality dimensions and common data validation techniques.
• Experience with regression testing, test automation principles, and investigating, documenting, and resolving data quality incidents.
• Understanding of CI/CD and version control practices, such as GitHub Actions or similar tools.
• Strong ownership, ability to work independently on complex data quality problems, and strong communication skills when working with engineering, analytics, and customer teams.

Nice to have

• AWS experience.
• Snowflake experience.

Culture & Benefits

• Remote work arrangement in Ukraine.
• Collaboration with Data Engineering, Data Science, Analytics, QA, and client teams.
• Equal opportunity employment.