Data Engineer III at TD in Toronto, ON

Job description

Work Location: Toronto, Ontario, Canada Hours: 37.5 Line of Business: Technology Solutions Pay Details: $125,500 - $154,000 CAD The pay details posted reflect a temporary market premium specific to this role that is reassessed annually. 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: Provide a broad range of data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL), metadata enrichment and management, data provenance and lineage, and other specialized data management functions. DEPTH & SCOPE: Expert knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures, including how they impact and integrate with other technology areas such as Architecture or Infrastructure Performs highly complex technical tasks independently Expert 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 Recognized as primary subject matter expert in multiple areas directly and indirectly related to key accountabilities Consults with peers and partners across multiple teams on all aspects of research, analysis, design, and support 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 packa