QA manual - with data analysis expirience to $1500

Job description

  1. Collaborating with data engineers and analysts to validate data integrity, transformation logic, and the accuracy of data used in forecasting models.
  2. Ensuring the correctness and quality of input and output data flows used in machine learning or predictive analytics pipelines.
  3. Executing the end-to-end verification process, working closely with the product team and developers.
  4. Analyzing issues and defining methods for reproducing and resolving them in a short cycle.
  5. Preparing and implementing systems quality assurance reviews, including development and execution of test plans and test scripts.
  6. Identifying and implementing best practices to ensure the software performs as expected.
  7. Verifying usability, function, performance, and scalability.
  8. Analyzing test outputs, identifying discrepancies, and clearly documenting defects.
  9. Participating in software and QA design reviews.
  10. Supporting developers during the debugging process.
  11. Supporting project integrations.

Required experience, qualities and skills

  1. 2+ years of experience as a QA Engineer
  2. Strong analytical and problem-solving skills
  3. Experience with bug/defect tracking tools such as Jira or TFS
  4. Solid knowledge of SQL and experience in working with large datasets
  5. Experience with Linux-based systems
  6. Attention to detail, passion for quality, and a proactive mindset
  7. Experience testing data pipelines, ETL processes, or data-centric applications is a plus
  8. Familiarity with basic concepts of machine learning or predictive modeling is an advantage
  9. 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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