TD Bank

Data Engineer II

TD Bank • $81K — $115K *
Toronto, ON M3C 0E3In-Person
Information Technology
5 - 7 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Degree in Data Management, Computer Science, Engineering, or equivalent experience.
  • 5 years of relevant data engineering experience.
  • Proficiency in Databricks, DataLake, Synapse, Python, and PySpark.
  • Understands ETL documentation processes.
  • Azure Cloud experience preferred.

Responsibilities

  • Perform data analysis and assess management requirements for specific Platforms or Journeys.
  • Create and update documentation such as data flow diagrams and workflows.
  • Maintain expert knowledge of upstream data, focusing on quality and profiling.
  • Support data acquisition and ingestion processes.
  • Articulate complex data designs to non-technical partners.
  • Develop and maintain complex data models and ETL jobs.
  • Ensure compliance with enterprise data standards and policies.

Benefits

  • Discretionary variable compensation based on performance.
  • Opportunities for career growth and skill development.
  • Commitment to fair and equitable compensation practices.
  • Encouragement of open dialogue regarding compensation.
Full Job Description
Work Location:
Toronto, Ontario, Canada

Hours:
37.5

Line of Business:
Technology Solutions

Pay Details:
$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.

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.

CUSTOMER
  • Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products
  • Create, update documentation requirements, data flow diagram, source to target mapping, workflows, runbooks.
  • 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
  • 5 years of relevant experience
  • Databricks, DataLake, Synapse, Python, PySpark, ETL Documentation
  • Azure Cloud experience preferred


Language Requirement (Quebec only):
Sans Objet

About TD Bank

TD Securities offers a range of advisory and capital market services to its clients. The company's range of services includes research, investment banking, capital markets, and global transaction banking. Research consists of commodity and equity research. Investment banking consists of mergers, acquisitions, industry expertise, and credit origination. Global transaction banking consists of trade finance, cash management, and correspondent banking. TD Securities was founded in 1855 and is based in Ontario.

TD Bank Careers

Join the vibrant team at TD Bank, one of North America's leading financial services organizations, where innovation, leadership, and growth go hand in hand. At TD Bank, we are committed to fostering a culture of diversity and inclusion, making it an ideal place for ambitious professionals to thrive. Work You’ll Do At TD Bank, your professional journey is bolstered by a robust support system. From your first interview to every career milestone, you will find opportunities for growth and leadership. Our team is dedicated to helping you develop the skills necessary for success in the ever-evolving financial sector. TD Bank offers a variety of job opportunities across multiple fields, from customer service to investment banking. Each position at TD Bank is a chance to contribute to our culture of innovation and exceptional client service. Internship Programs Kickstart your career with a TD Bank internship. Our programs provide invaluable industry exposure and hands-on experience, making them a perfect starting point for students and recent graduates eager to make their mark in the banking industry. Interns at TD Bank enjoy the unique opportunity to work alongside seasoned professionals, gaining insights that are crucial for future employment. Benefits and Growth TD Bank is deeply committed to the well-being and continuous growth of our team members. We offer competitive benefits packages that cover health, finance, and family care. Our employees enjoy comprehensive health insurance, retirement plans, and generous paid time off, among other perks. Moreover, TD Bank encourages professional development through various training programs, including leadership development and diversity training. These initiatives ensure that our team remains at the forefront of industry standards and best practices. Join Our Team Explore the numerous career paths available at TD Bank and discover how your skills and interests align with our mission. We are actively hiring and continually looking for talented individuals who are passionate about banking and customer service. Networking and Professional Development At TD Bank, we believe in the power of networking and collaboration. Our employees have access to a wide range of networking events, workshops, and seminars that promote career development and professional growth. These platforms not only enhance your professional skills but also expand your industry connections. Stay Connected Keep up to date with the latest at TD Bank Careers by subscribing to our job alert emails. Tailor your subscription to match your career preferences and get the latest news, insider tips, and job opportunities delivered straight to your inbox. Explore job opportunities at TD Bank and be part of a team that values hard work, creativity, and a diverse workplace culture. Your next great career move is just a click away. SEARCH TD BANK JOBS Join us at TD Bank and let your ambition lead you to a rewarding career filled with opportunities to learn, grow, and innovate.
Learn more about TD Bank
Size
90,000 employees
Market Cap
$117.9 billion
Industry
Finance & Insurance
Net Income
-$6.9 million
5 Year Trend
+6.6%
* Ladders Estimates

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