Quality Automation Engineer II - Data Engineering
Job Description
About this kind of role
What a Quality Automation Engineer II - Data Engineering usually does. The employer's own details are in the listing.
Typically does: Designs, develops, and executes automated tests for data pipelines and data warehousing systems. This role focuses on ensuring data quality, reliability, and performance through automated testing frameworks. Responsibilities include identifying test requirements, creating test cases, and analyzing test results to report defects and track resolution. Automation engineers in this area often work closely with data engineers and developers to improve data processes.
Tools and skills: Proficiency in programming languages like Python or Java, experience with testing frameworks such as Selenium or JUnit, and familiarity with data warehousing technologies like SQL and ETL tools are generally required.
Good fit for: Individuals with a strong analytical mindset, a passion for data quality, and experience in software testing or data engineering often thrive in this role.
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