Test Lead – Data Testing
12 months contract
Onsite in Zurich, Switzerland
About the Role
We are looking for Test Lead to design, build, and maintain automation frameworks focused on data-related testing. The successful candidates will play a key role in strengthening our regression testing capability, improving test coverage, and increasing the speed and reliability of our data platform releases.
Key Responsibilities
· Define end-to-end test strategy, test plan, scope, approach, entry/exit criteria, and quality gates across
· Lead test planning, estimation, scheduling, and coordination of SIT, E2E, Regression, and UAT activities across cross-functional teams
· Design, build, and maintain an automation framework for regression testing of data platforms and pipelines
· Develop automated test cases covering data ingestion, transformation, validation, and reconciliation scenarios
· Execute and maintain automated test execution cycles, integrating with CI/CD pipelines
· Identify gaps in existing test coverage and proactively design automated checks to close them
· Collaborate with data engineers, QA, and business teams to understand data flows and translate them into robust test scenarios
· Troubleshoot test failures, distinguishing between genuine data/application defects and test/environment issues
· Document test frameworks, test cases, and results in a clear, maintainable way
· Continuously improve automation coverage, execution speed, and reliability
Required Skills & Experience
· Proven experience leading end-to-end test management for large-scale data transformation, migration, or enterprise platform modernization programs
· Strong, demonstrable understanding of data platforms and enterprise data — data warehouses, data lakes, ETL/ELT pipelines, data models, and data governance concepts
· Experience with SQL and querying large/enterprise datasets to validate data accuracy and integrity
· Familiarity with CI/CD tools and integrating automated tests into deployment pipelines
· Strong analytical and problem-solving skills, with attention to data quality and detail
Preferred / Nice-to-Have
· Experience with cloud data platforms (e.g., Snowflake, Databricks, BigQuery, Azure Synapse, or similar)
· Hands-on experience building test automation frameworks (e.g., for regression testing) rather than only executing pre-built scripts
· Experience with automated test case design and automated test execution, ideally in data-centric environments
· Proficiency in at least one programming/scripting language commonly used in test automation (e.g., Python, Java, or similar)
· Experience with test automation/ETL testing tools (e.g., Selenium, pytest, dbt tests, Great Expectations, or similar)
· Exposure to financial services or enterprise data environments
· Experience working in Agile/Scrum delivery teams
Candidate Profile / Culture Fit
· Deep understanding of data — genuinely curious about how enterprise data platforms work, not just how to test them
· Fast learner, adaptable mindset — able to quickly get up to speed within our fast-paced, quick-learning culture
· Self-starter who can work with ambiguity and evolving requirements
· Strong communicator, able to work closely with both technical (data engineering) and non-technical stakeholders
关于高知特 (Cognizant)
高知特(Cognizant)(纳斯达克代码:CTSH)作为一家AI Builder和相关技术服务提供商,致力于通过打造全栈AI解决方案,帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长,将企业独特的业务场景融入科技系统,赋能组织释放人才潜能,推动切实成果,并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情,敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外,候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中,您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。







