QA Automation Engineer - Contractor
Your new role
Design,
develop, and maintain automated test scripts for data quality testing using
industry-standard tools and frameworks.
Collaborate with data engineers, data analysts, and other stakeholders to
understand data requirements and ensure data quality standards are met.
Develop
and implement test strategies, test plans, and test cases focused on data
quality validation.
Execute
automated and manual tests to verify data quality and identify discrepancies.
Monitor
data pipelines and workflows to ensure data integrity and accuracy throughout
the ETL (Extract, Transform, Load) processes.
Perform
root cause analysis of data quality issues and work with development teams to
resolve them
Document and report data quality metrics and test results to stakeholders.
Continuously improve the test automation framework and processes to enhance
efficiency and coverage.
Stay
up-to-date with industry best practices and emerging trends in data quality
testing and automation.
What you'll need to succeed
Proven experience in data quality testing and QA automation.
Proficiency in programming languages such as Python, Java, or similar.
Hands-on experience with test automation tools and frameworks such as Selenium, JUnit, TestNG, or similar.
Strong understanding of data quality principles, methodologies, and best practices.
Experience with ETL processes and tools (e. g. , Informatica, Talend, Apache Nifi).
Knowledge of SQL and database management systems (e. g. , MySQL, PostgreSQL, Oracle).
Familiarity with data warehousing concepts and technologies (e. g. , Snowflake, Redshift).
Excellent analytical, problem-solving, and troubleshooting skills.
Strong communication and collaboration abilities.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.
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