Senior Data QA Engineer

About the role

Moody's is hiring a Senior Data QA Engineer in Heredia, Costa Rica, within its Digital Content and Innovation (DC&I) team. The team builds and deploys AI-powered solutions and analytical tools, and the role leads data quality engineering practices so that data is reliable, accurate and fit for use by data consumers.

Key responsibilities

• Lead data quality engineering practices and ensure data is reliable, accurate and fit for use.
• Design and implement comprehensive data test strategies and plans.
• Develop and maintain automated test frameworks using dbt and Python data quality libraries.
• Conduct code reviews and give actionable feedback to strengthen data quality.
• Debug data quality issues, find root causes and recommend solutions to data engineers.
• Promote quality standards and best practices, and coordinate solutions across engineering and product teams.
• Serve as subject matter expert on projects involving financial information.

Required profile

• Bachelor's degree in Computer Science, Engineering or a related discipline, or equivalent professional experience.
• Experience level: experienced.
• Proven ability to implement AI-powered solutions and hands-on experience with AI tools; awareness of AI risk management and responsible AI use.

Required skills

• Python and SQL, including Snowflake, PostgreSQL and Databricks.
• dbt for data modelling, transformations, tests and quality checks.
• AWS services: S3, DynamoDB, Glue and Lambda.
• CI/CD pipelines, DevOps practices, test automation tools and frameworks.
• Apache Airflow and Git.