QA manual - with data analysis expirience to $1500
Job description
- Collaborating with data engineers and analysts to validate data integrity, transformation logic, and the accuracy of data used in forecasting models.
- Ensuring the correctness and quality of input and output data flows used in machine learning or predictive analytics pipelines.
- Executing the end-to-end verification process, working closely with the product team and developers.
- Analyzing issues and defining methods for reproducing and resolving them in a short cycle.
- Preparing and implementing systems quality assurance reviews, including development and execution of test plans and test scripts.
- Identifying and implementing best practices to ensure the software performs as expected.
- Verifying usability, function, performance, and scalability.
- Analyzing test outputs, identifying discrepancies, and clearly documenting defects.
- Participating in software and QA design reviews.
- Supporting developers during the debugging process.
- Supporting project integrations.
Required experience, qualities and skills
- 2+ years of experience as a QA Engineer
- Strong analytical and problem-solving skills
- Experience with bug/defect tracking tools such as Jira or TFS
- Solid knowledge of SQL and experience in working with large datasets
- Experience with Linux-based systems
- Attention to detail, passion for quality, and a proactive mindset
- Experience testing data pipelines, ETL processes, or data-centric applications is a plus
- Familiarity with basic concepts of machine learning or predictive modeling is an advantage
- Fluent English (spoken and written)
172 views
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33 applications
100% read
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97% responded
Last responded 4 hours ago
172 views
·
32 applications
100% read
·
97% responded
Last responded 4 hours ago
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