Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Data Engineer
About the role
As a Data Engineer, you will make an impact by collecting, managing, and documenting metadata and data lineage across lines of business to ensure data governance requirements are met. You will be a valued member of the data governance team and work collaboratively with data owners, stewards, developers, and production support teams.
In this role, you will:
· Collect metadata and lineage information for systems, key business processes, and data domains across lines of business, ensuring data governance requirements are addressed by business and technology initiatives.
· Develop and maintain system and attribute-level data lineage documentation, including data flow diagrams, process maps, and metadata catalogs.
· Identify data transformations and oversee metadata repositories and data lineage documentation to ensure traceability and transparency of data flows.
· Work across multiple teams and coordinate efforts on project engagements supporting metadata and lineage as a standard project activity.
· Collaborate with data owners, stewards, developers, and production support teams to ensure accurate and up-to-date data lineage information.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3–4 days a week in a client or Cognizant office in Toronto, Ontario. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
· Bachelor’s degree in Information Management, Computer Science, Business, or a related field.
· 3+ years of experience in data lineage, data governance, data management, or a related role.
· Strong understanding of data governance principles, the data lifecycle from collection through storage and usage, as well as metadata and lineage management concepts and practices.
· Proficiency in data governance tools, Advanced SQL, metadata management, and data lineage concepts.
· Proficiency with Python and other data querying languages, as well as Microsoft Excel (macros, formulas, and pivot tables).
· Strong analytical, problem-solving, and communication skills with the ability to influence stakeholders and drive cultural change.
These will help you stand out
· Experience in AML, Fraud, and Payments domains.
· Strong understanding of software development principles, including design patterns.
· Experience with Big Data ecosystems (Spark, Hadoop), cloud platforms (AWS and Azure), and MLOps tools.
· Familiarity with cloud platforms (AWS, Azure).
· Experience working in an Agile development environment.
We’re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
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。
