Data Engineer II

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: 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 via 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, dimensional data models), ETL and business rules, data life-cycle 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 the development and testing teams to resolve data issues, including escalation support on complex issues Support partners and stakeholders in interpreting and analyzing data Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables SHAREHOLDER Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success Support the QA team with data analysis/investigations of complex issues/ test cases as part of SIT/UAT/PAT testing Provide oversight on post implementation activities during the warranty period Execute & approve code check-in/ check-out into source code repository as part of source code management Work closely with ITS/ ARE teams to support code packaging & deployment (CI & CD) into higher environments Be the lead participant in the design & architecture reviews or the application Raise service-now requests and work with the change management team to support release management activities Lead data engineering initiatives and capabilities, data governance principles and how they apply across the organization Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities Ensure technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented Protect the interests of the organization – identify and manage risks, and escalate non-standard, high-risk activities as necessary Adhere to internal policies/procedures and applicable regulatory guidelines 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, support a positive work environment that promotes service to the business, quality, innovation and teamwork and ensure timely communication of issues/ 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 / or all relevant or useful information related to day-to-day activities Actively mentors and enables team members by sharing knowledge and leveraging engineering best practices. Supports 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 Advanced knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact other technology areas such as Architecture or Infrastructure Performs complex technical tasks independently Advanced knowledge of TD applications, systems, networks, innovation, design activities, business, organization, best practices, and standards Designs and develops to meet business and technical requirements; analyzes, adapts, integrates, codes, tests, debugs, and executes Uses and evolves established patterns to solve complex problems; leads the development of new patterns where necessary May be recognized as a subject matter expert in areas directly related to key accountabilities Generally reports to a Practice Lead EXPERIENCE AND / OR EDUCATION Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical experience A minimum of 3 years' relevant experience Working experience in Microsoft Azure, Databricks, Pyspark, Python, SQL, ADF Measurable outcomes from having leveraged AI to improve productivity. Excellent at problem-solving, communication and at influencing stakeholders. 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 financial, physical, and mental well-being goals. Total Rewards at TD includes a base salary, variable compensation, and several other key plans such as health and well-being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development, and reward and recognition programs. Learn more Additional Information: We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home. Please be advised that t