Data Quality Testing Engineer

About the Role

Key Responsibilities

• Develop and execute comprehensive test plans and test cases for data pipelines and data warehousing solutions.
• Utilize AWS Lambda, AWS Glue, and Snowflake to perform data processing and analysis for testing purposes.
• Design and implement automated tests using Selenium and other test automation frameworks.
• Manage and maintain test environments and test data.
• Identify, document, and track data quality issues using test management tools such as qTest and pytest.
• Collaborate with data engineers and data scientists to resolve data quality issues and improve data accuracy.
• Participate in code reviews and provide feedback on data engineering code.
• Contribute to the development of data quality standards and best practices.
• Monitor data quality metrics and identify trends and anomalies.
• Communicate test results and data quality issues to stakeholders in a clear and concise manner.

Required Skills & Qualifications

• 10+ years of proven experience as a Data Quality Testing Engineer with a focus on AWS technologies.
• Strong proficiency in Python, PySpark, SQL, and related data testing technologies.
• Experience with AWS Lambda, AWS Glue, and Snowflake for data processing and analysis.
• Familiarity with Selenium for test automation.
• Knowledge of test management tools such as qTest and pytest.
• Solid understanding of test automation frameworks.
• Excellent problem-solving skills and attention to detail.
• Experience with data warehousing concepts and data modeling techniques.
• Strong communication and collaboration skills.
• Bachelor's degree in Computer Science, Engineering, or a related field.