Senior Data QAA Engineer

DataArt is seeking a Senior Data QAA Engineer to join a global online sports betting company. You will work within a small, agile team alongside DevOps and Data Engineers to ensure the delivery of high-quality technology products.

Key responsibilities

• Design, build, and maintain robust data and reporting solutions.
• Develop and maintain automated test frameworks for ETL, Big Data, API, and database validations.
• Test and develop integration layer changes to ensure user stories meet quality standards.
• Perform comprehensive test analysis and collaborate effectively across cross-functional Agile teams.

Requirements

• At least 3 years of experience with validation in Databricks.
• Proficiency in Python and SQL, with strong skills in database and API validations.
• Hands-on expertise with test frameworks such as BDD, PyTest, and Allure.
• Experience with CI/CD tools like Jenkins or GitHub Actions and version control using Git.
• Familiarity with AWS infrastructure, including S3, DynamoDB, and Delta Lake.

What we offer

• Up to 26 business days of vacation per year.
• 10 fully paid illness or special days off annually without the need for medical documentation.
• Comprehensive health and life insurance coverage.
• Access to the MyBenefit platform including Multisport options.
• Professional development through internal training, English classes, and certification reimbursement.
• Access to external learning platforms such as O’Reilly, LinkedIn Learning, and Udemy.