Data Engineer I

Work Location:

Hours:

Line of Business:

Pay Details:

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 candidates 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:

The Data Engineer I will be instrumental in critical development activities and join our dev engineers to deliver on a 23-year roadmap for Canadian Personal Banking in HOJ (Homeowners Journey) and Data Operations PODs.

Given the critical nature of this role the candidate must have technical and business acumen related to Personal Banking products. They should be adept at managing complex production issues proactive and have good communication skills to work seamlessly with multiple cross-functional teams.

Moreover the ability to adapt to changing project requirements technologies and priorities while delivering effectively under pressure is crucial

CUSTOMER

• Perform data analysis and assess data management requirements for a specific Platform or Journey.
• Maintain foundational 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 technical design and development details to non-technical business partners
• Elicit analyze and understand business and data requirements to develop complete business solutions under the guidance of senior peers and managers 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 data models using industry standard modeling tools
• Develop and maintain ETL jobs using the Banks standard tools
• Provide support to the development and testing teams to resolve data issues
• Support partners and stakeholders in interpreting and analyzing data
• Build effective working relationships to collaborate with peers and partners on personal deliverables
• Provide data governance and availability support

SHAREHOLDER

• Coordinate with technology work teams such as ITS ARE etc. to ensure overall delivery success
• Support the QA team with any data loads and data analysis/investigations as part of SIT/UAT/PAT testing
• Provide post implementation support to the production support team during the warranty period
• Execute 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 an active participant in the design & architecture reviews of the application
• Raise service-now requests and work with the change management team to support release management activities
• Understand 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 to standard security coding practices to ensure application is free of most common coding vulnerabilities
• Ensure privacy security governance and access controls are properly adhered to
• Ensure technical decisions technical risks and lessons learned are 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

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
• Support the team by continuously enhancing knowledge / expertise in own area and participate in knowledge transfer within the team and business unit; Support knowledge-sharing across teams and with relevant stakeholders ensuring knowledge is codified monitored tracked and managed
• Work collaboratively with the team and leadership to proactively identify and resolve issues related to product quality
• Work collaboratively with the data engineering team to define and validate appropriate user stories acceptance criteria and definitions of done / ready
• 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
• Contribute to the success of the team by willingly assisting others in the completion and performance of work activities; provide training coaching and/or guidance as appropriate.
• 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

• Foundational knowledge of data engineering frameworks technologies tools processes patterns and procedures
• Performs moderately complex technical tasks independently
• Performs complex technical tasks under general supervision
• Foundational 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 routine problems; contributes to new patterns where necessary
• 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
• 2-3 years of relevant experience
• Proficiency in PySpark Python SQL and ETL experience with Azure Databricks (ADB).

Who We Are:

TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day we deliver legendary customer experiences to over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

TD is deeply committed to being a leader in customer experience that is why we believe that all colleagues no matter where they work are customer facing. As we build our business and deliver on our strategy we are innovating to enhance the customer experience and build capabilities to shape the future of banking. Whether youve got years of banking experience or are just starting your career in financial services we can help you realize your potential. Through regular leadership and development conversations to mentorship and training programs were here to support you towards your goals. As an organization we keep growing and so will you.

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:
Were delighted that youre considering building a career with TD. Through regular development conversations training programs and a competitive benefits plan were 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 youre interested in a specific career path or are looking to build certain skills we want to help you succeed. Youll 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 were committed to helping you identify opportunities that support your goals.

Training & Onboarding
We will provide training and onboarding sessions to ensure that youve got everything you need to succeed in your new role.

Interview Process
Well 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.

Accommodation
Your accessibility is important to us. Please let us know if youd like accommodations (including accessible meeting rooms captioning for virtual interviews etc.) to help us remove barriers so that you can participate throughout the interview process.

We look forward to hearing from you!

Language Requirement (Quebec only):