Td Bank Data Engineer III 

Canada, Ontario, Toronto 

274110058

Toronto, Ontario, CanadaTechnology Solutions

$91,200 - $136,800 CAD

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 dataanalysis/investigationsof 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

• 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

• Generally reports to a Practice Lead

• 8+ years of experience in data engineering, performance optimization for large OLTP applications. 3-5 years experience as Lead/Senior Data Engineer.

• Lead across a broad range of highly complex and specialized data engineering functions including data modeling, data quality, data profiling, data acquisition and ingestion, extract transform load (ETL and ELT), metadata enrichment and management, data provenance and lineage, and other specialized data management functions.

• Perform data analysis and assess data management requirements leveraging business requirements, including complex analysis involving multiple pods or products.

• Obtain, analyze, and understand business and data requirements to develop complete business solutions, including data models (entity relationship diagrams, dimensional data models), business rules, data life-cycle management. Adhere to data governance by ensuring data is maintained in compliance with enterprise data standards, policies, and guidelines.

• Coordinate with other technology teams such as Architecture, Enterprise Protect, change management, release management etc. to ensure overall delivery success.

• Lead other Data Engineers in the team and guide them to deliver on commitments, collaborate with BSAs to refine requirements and documentation, and QEs, supporting them with dataanalysis/investigationsof complex issues/test cases as part of SIT/UAT/PAT testing. Enable team members by sharing knowledge and leveraging engineering best practices.

• 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.

• Lead participant in the design & architecture reviews or the application.

• Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities.

• Keep current on emerging trends/developments and grow knowledge of the business, related tools, and techniques.

• 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.

• Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables.

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

• Graduate Degree nice to have

• 5-8 years of relevant experience

Azure, ADF, DataBricks, Pyspark, Python, SQL, DevOps, Experience working with ETL tools, knowledge of any data model tool, handy with MS Excel, Git or related code management knowledge, GitHub or equivalent, Unity Catalog, Datadog

Good to have:

Collibra, Power BI or any viz tools

Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations, requirements.

If you’re interested in a specific career path or are looking to build certain skills, we want to help you succeed. You’ll have regular career, development, and performance conversations with your manager, as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience, or you want to coach and inspire your colleagues, there are many different career paths within our organization at TD – and we’re committed to helping you identify opportunities that support your goals.

We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Sans Objet