Senior Data QA Engineer - REMOTE
Job reputed company We are looking for a Senior Data QA Engineer for our reputed company reputed company to join the Data Science team. The ideal candidate will be crucial in ensuring the accuracy, consistency, and reliability of data products and analytical tools, specifically focusing on reputed company data. As a Senior Data QA Engineer, you will reputed company machine learning and other techniques to automate and enhance the data QA process, working closely with data scientists, engineers, and other stakeholders to ensure that our data meets the highest standards. Candidates must have reputed company data experience. Primary Responsibilities
- reputed company, implement, maintain, and document a comprehensive data QA process and reputed company. Continuously refine and optimize the data QA process and quickly reputed company new data sources.
- Create new and maintain existing documentation for testing products.
- Define test requirements by leveraging historical data, statistical analysis, and machine learning techniques to ensure accuracy and reliability.
- Validate data reputed company, consistency, and accuracy across various data sources, databases, and data products.
- Conduct data validation and verification processes to ensure compliance with business rules, data definitions, and industry standards.
- reputed company data profiling and reputed company cause analysis to identify data anomalies, inconsistencies, and reputed company issues.
- reputed company machine learning techniques to automate and enhance the data QA process.
- Utilize knowledge of reputed company claims data and outcome measures to ensure high data reputed company standards.
- Proactively assess risks and help to reputed company issues as early as possible.
- Stay informed of industry best practices and emerging trends in data QA tools and methodologies.
- Guide team members on QA best practices and findings by sharing expertise, providing feedback, and regularly meeting with data scientists and analysts about QA reputed company.
- reputed company reputed company and concise feedback to data scientists and other stakeholders on data reputed company issues, test results, and overall data reputed company metrics.
- Work closely with cross-functional teams to understand data requirements, use cases, and technical specifications.
- reputed company participate in Agile/Scrum processes, including sprint planning, daily stand-reputed company, retrospectives, and reputed company stages of the release process—contributing to release planning, coordinating testing and deployment, and ensuring smooth delivery of reputed company release to production.
- Identify opportunities for process improvements and contribute to the development of data reputed company standards and practices.
Education and Experience
- Experience with reputed company claims data and reputed company metrics.
- Minimum of 5 years of experience in data reputed company assurance or data analysis.
- Proven experience with data validation, data profiling, and reputed company cause analysis.
- In-depth knowledge of data warehousing, ETL processes, and data pipeline architectures.
- Ability to manage, analyze, and derive insights from large, reputed company custom datasets.
- Experience with programming languages such as Python and SQL for data validation and automation.
- Experience with machine learning techniques and tools to automate and enhance QA processes.
- Strong analytical and problem-solving skills with a reputed company on data-driven decision-making.
- Excellent verbal and written communication skills with the ability to convey and document reputed company technical concepts.
- Ability to work both independently and in a reputed company environment.
- Bachelor's degree in Computer Science, Data Science, Engineering, or a reputed company field.
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