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TD Bank

Data Engineer II

  • Office
  • 3-6 years

Salary

Not stated

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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.

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

3-5 years of relevant experience

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 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.

Colleague Development

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.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

Training & Onboarding

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

Interview Process

We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Conditions

Toronto, Ontario, Canada

Hours:

5

Line of Business:

Technology Solutions

$81,600 - $115,200 CAD

This role is eligible for a discretionary variable compensation award that considers business and individual performance.

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.

Where you’d work

From the office

About the company

TD Bank

  • Industry: FinTech

Offices in Toronto, Canada, Canada

Also hiring in New York, United States, Charlotte, United States, United States and 5 more places

2 of their 118 open roles are remote

Your chances

Worth a look before you spend an evening tailoring a CV for it.

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  • 1 red flag

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1 red flag

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6 checks

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  • Must-haves
Details10 facts · Role, Location, Compensation, Employment, Company
Type
Full-time
Industry
FinTech
Specialty
Data Engineering
Region
Canada
Pay period
Annual
Show 5 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Engineering
Experience
5+ years

Location

Work model
Office
Region
Canada
Offices
  • Toronto, Canada
  • Canada

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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