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.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
