Senior Data QA Engineer
Core
Ensure accuracy, integrity, and reliability of enterprise data solutions by validating complex data workflows and leveraging AI-powered tools.
Role type
Senior Data QA Engineer
Builds
Trusted data for critical business decisions
Domain
Healthcare / Data Quality Engineering
Deliverable
production ML models
Required skills
SQL, ETL/ELT pipeline validation, automated testing, manual testing, defect tracking, AI-powered tools usage, data reconciliation, root cause analysis
Preferred skills
Data testing automation frameworks, BI platforms (Power BI, Tableau), cloud-native data platforms, Agile/Scrum methodologies
Technologies
Snowflake, Redshift, SQL Server, MySQL, PostgreSQL, AWS, Azure, GCP, Jira, Azure DevOps
Responsibilities
Design and execute test plans and scripts for data platforms; Validate ETL/ELT pipelines and data transformations; Perform SQL-based data validation and reconciliation; Identify and track defects; Mentor junior QA team members; Leverage AI tools to improve testing productivity
Seniority
Senior, hands-on IC