高级质量工程师
Senior Quality Engineer
关于客户
我们的客户是一家全球知名的咨询服务和技术咨询公司，专注于在数字化转型、云服务、数据、人工智能、网络安全和业务运营领域提供创新解决方案。公司在多个行业都有广泛的影响力，以协作的工作文化、前沿的技术和对人才发展的承诺而闻名，同时帮助组织解决复杂的业务挑战。
职位概述
我们正在寻找一名高级质量工程师，通过全面的测试和自动化确保数据和分析解决方案的质量、准确性和可靠性。理想的候选人将验证数据流程、报告和仪表板，并与跨职能团队合作，交付高质量的数据驱动解决方案。
主要职责
- 为数据和分析解决方案制定测试策略、测试计划和测试用例。
- 验证数据模型、ETL流程、报告和仪表板，确保准确性和一致性。
- 使用Python和SQL执行数据验证、回归测试和自动化测试。
- 识别、记录并支持解决数据质量问题。
- 维护测试文档，并使用Jira和Confluence确保可追溯性。
- 在敏捷环境中与开发和数据工程团队合作。
- 为质量工程和测试流程的持续改进做出贡献。
任职要求
- 计算机科学、信息技术、数据科学或相关领域的学士学位。
- 1–3年软件质量工程或数据质量工程经验。
- 精通SQL，具备使用Python进行测试自动化或数据验证的经验。
- 熟悉软件测试方法、ETL/BI测试和敏捷实践。
- 熟悉Jira、Confluence和云数据平台如GCP者优先。
- 具备良好的分析、解决问题、沟通和协作能力。
- 注重细节，致力于交付高质量的解决方案。
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最初发布于Himalayas
查看英文原文
About the Client
Our client is a globally recognized professional services and technology consulting organization, delivering innovative solutions in digital transformation, cloud, data, artificial intelligence, cybersecurity, and business operations. With a strong presence across multiple industries, the company is known for its collaborative work culture, cutting-edge technologies, and commitment to developing talent while helping organizations solve complex business challenges.
Job Overview
We are seeking a Senior Quality Engineer to ensure the quality, accuracy, and reliability of data and analytics solutions through comprehensive testing and automation. The ideal candidate will validate data pipelines, reports, and dashboards while collaborating with cross-functional teams to deliver high-quality data-driven solutions.
Key Responsibilities
- Develop test strategies, test plans, and test cases for data and analytics solutions.
- Validate data models, ETL processes, reports, and dashboards to ensure accuracy and consistency.
- Perform data validation, regression testing, and automation using Python and SQL.
- Identify, document, and support the resolution of data quality issues.
- Maintain testing documentation and ensure traceability using Jira and Confluence.
- Collaborate with development and data engineering teams in an Agile environment.
- Contribute to continuous improvements in quality engineering and testing processes.
Qualifications
- Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.
- 1–3 years of experience in Software Quality Engineering or Data Quality Engineering.
- Strong knowledge of SQL and working knowledge of Python for test automation or data validation.
- Good understanding of software testing methodologies, ETL/BI testing, and Agile practices.
- Familiarity with Jira, Confluence, and cloud data platforms such as GCP is an advantage.
- Strong analytical, problem-solving, communication, and collaboration skills.
- High attention to detail with a commitment to delivering quality solutions.
Interested candidates may send their CV to
Originally posted on Himalayas