Data Engineer II
Description
The Data Engineer II will design, build, and maintain complex data pipelines, models, and ETL frameworks for large-scale enterprise data platforms. This role involves leading technical design and architecture discussions, translating business requirements into data solutions, and ensuring data quality, governance, security, and compliance. The position also entails technical leadership, mentoring team members, supporting CI/CD deployments, and collaborating with various teams to deliver reliable, production-ready data solutions.
What We're Looking For
Design, build, and maintain complex data pipelines, models, and ETL frameworks.,Lead technical design and architecture discussions.,Translate complex business requirements into robust data solutions.,Ensure data quality, governance, security, and compliance standards are met.,Provide technical leadership and mentor team members.,Support CI/CD deployments.,Partner with business, architecture, and infrastructure teams.,Perform data analysis and assess data management requirements.,Maintain expert knowledge of upstream data, including data profiling, quality reporting, and metadata.,Support the acquisition and ingestion of data.,Elicit, analyze, and understand business and data requirements to develop complete business solutions.,Develop and maintain complex data models and ETL jobs and frameworks using the Bank's standard tools.,Provide support to the development and testing teams to resolve data issues.,Coordinate with technology work teams to ensure overall delivery success.,Provide oversight on post-implementation activities during the warranty period.,Execute & approve code check-in/check-out into source code repository.,Lead the code version control by tracking branches and lead packaging and deployment (CI & CD).,Lead data engineering initiatives and capabilities, data governance principles.,Adhere to standard security coding practices.,Keep current on emerging trends/developments and grow knowledge of the business, related tools, and techniques.,Enable team members by sharing knowledge and leveraging engineering best practices.,Participate fully as a member of the team, support a positive work environment.,Provide thought leadership and/or industry knowledge for Data engineering best practices.,Lead, motivate and develop relationships with internal and external business partners/stakeholders.
Ideal Candidate
Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g., Computer Science, Engineering), or equivalent practical experience.,5+ years of relevant experience.
Minimum Education
Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g., Computer Science, Engineering), or equivalent practical experience.
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
About the Company
The Toronto-Dominion Bank
The Toronto-Dominion Bank and its subsidiaries are collectively known as TD Bank Group, one of the largest banks in North America. TD provides a wide range of personal, commercial, and investment banking products and services to over 27 million customers globally. Headquartered in Toronto, Canada, the bank operates through key segments including Canadian Retail, U.S. Retail, and Wholesale Banking.
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