Data Engineer II - CPB Data Curation

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $81,600 - $115,200 CAD TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs. As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role. Job Description: JOB DESCRIPTION SUMMARY Provide a broad range of data engineering functions, including data modeling, data quality, data profiling, data acquisition and ingestion, extract, transform and load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. JOB DESCRIPTION CUSTOMER Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products. Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and the production of metadata. Support the acquisition and ingestion of data. Articulate complex, large-scale and high-impact technical design and development details to non-technical business partners. Elicit, analyze and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams and dimensional data models), ETL and business rules, data lifecycle management, governance, lineage and metadata. Ensure data is maintained in compliance with enterprise data standards, policies and guidelines. Develop and maintain complex data models using industry-standard modeling tools. Develop and maintain complex ETL jobs and frameworks using the Bank's standard tools. Provide support to development and testing teams to resolve data issues, including escalation support for complex issues. Support partners and stakeholders in interpreting and analyzing data. Analyze and understand business and data requirements to develop complete ETL solutions under the guidance of senior peers and tech leads. INTERNAL / INTERNE Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables. SHAREHOLDER Coordinate with technology work teams and stakeholders to ensure overall delivery success. Support the QA team with data analysis and investigations of complex issues/test cases as part of SIT/UAT/PAT testing. Provide oversight on post-implementation activities during the warranty period. Execute and approve code check-in/check-out into the source code repository as part of source code management. Work closely with Release Management teams to support code packaging and deployment (CI/CD) into higher environments. Be the lead participant in application design and code reviews. Raise ServiceNow requests and work with the Change Management team to support release management activities. Lead data engineering initiatives and capabilities, including data governance principles and how they apply across the organization. Ensure metadata and data lineage are captured and compatible with enterprise metadata and data management tools and processes. Adhere to and contribute toward standard secure coding practices to ensure applications are free of common coding vulnerabilities. Ensure technical decisions, technical risks and lessons learned are identified and clearly documented, with enhancements implemented accordingly. Protect the interests of the organization by identifying and managing risks and escalating non-standard, high-risk activities as necessary. Adhere to internal policies/procedures and applicable regulatory guidelines. INTERNAL / INTERNE 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. EMPLOYEE / TEAM Participate fully as a member of the team and support a positive work environment that promotes service to the business, quality, innovation and teamwork, while ensuring timely communication of issues and points of interest. Provide thought leadership and/or industry knowledge for data engineering best practices and participate in knowledge transfer within the team and business unit. Keep current on emerging trends/developments and grow knowledge of the business, related tools and techniques. Participate in personal performance management and development activities, including cross-training within own team. Keep others informed and up to date about the status/progress of projects and all relevant or useful information related to day-to-day activities. Actively mentor and enable team members by sharing knowledge and leveraging engineering best practices. Support the team by providing guidance and proactively identifying and resolving issues. Lead, motivate and develop relationships with internal and external business partners/stakeholders to develop productive working relationships. Contribute to a fair, positive and equitable environment that supports a diverse workforce. Act as a brand ambassador for your business area/function and the Bank, both internally and/or externally. BREADTH & DEPTH INTERNAL / INTERNE Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns and procedures, including how they impact other technology areas such as Architecture or Infrastructure. Perform complex technical tasks independently. Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices and standards. Design and develop to meet business and technical requirements; analyze, adapt, integrate, code, test, debug and execute. Use and evolve established patterns to solve complex problems; lead the development of new patterns where necessary. May be recognized as a subject matter expert in areas directly related to key accountabilities. EXPERIENCE AND/OR EDUCATION Hands-on proficiency in Java/PySpark, Python and SQL, with experience in Azure ADB, ADF and Bitbucket (GitHub). Solid technical skills in investigating ETL design, optimizing ETL workflows, mitigating risks and ensuring data accuracy—key functions that directly impact business outcomes. Experience leveraging GitHub Copilot to enhance development productivity and code quality is an asset. Degree, postgraduate degree or technical certificate in Data or a related discipline (e.g., Computer Science, Engineering), or equivalent practical experience. 3–5 years of relevant experience. #li-tech Who We Are: TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities. Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financ