data scientist

TD Bank; Toronto; On-site; CAD 52,000 - 118,000; Full time

Job summary

An established industry player is seeking a skilled Data Engineer III to enhance their data engineering capabilities. This role involves a wide range of responsibilities including data modeling, ETL processes, and ensuring data quality and governance. You will collaborate with various teams to develop and maintain complex data solutions, ensuring compliance with enterprise standards. The position offers growth opportunities and a chance to lead data engineering initiatives in a dynamic environment. If you are passionate about data and eager to make an impact, this is the perfect opportunity for you.

Qualifications

• Experience in data engineering functions including ETL and data modeling.
• Strong knowledge of data quality and governance principles.

Responsibilities

• Perform data analysis and assess management requirements for specific platforms.
• Develop and maintain complex data models and ETL jobs.

Skills

Data Modeling

Data Quality

ETL

Data Profiling

Data Governance

Data Analysis

Technical Design

Collaboration

Education

Bachelor's Degree in Computer Science or related field

Tools

Industry Standard Modeling Tools

Source Code Management Tools

Job description

Title posted on CareerBeacon - Data Engineer III

Posted on April 16, 2025 by Employer details TD Bank

Job details

Work Location: Toronto, Ontario, Canada
Hours: 37.5
Line of Business: Technology Solutions
Pay Details: $91,200 - $136,800 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.

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.

Responsibilities

1. Perform data analysis and assess data management requirements for a specific Platform or Journey, including complex analysis involving multiple pods or products.
2. Maintain expert knowledge of upstream data, including knowledge provided through data profiling, data quality reporting, and via the production of metadata.
3. Support the acquisition and ingestion of data.
4. Articulate complex, large scale, and high impact technical design and development details to non-technical business partners.
5. 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.
6. Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
7. Develop and maintain complex data models using industry standard modeling tools.
8. Develop and maintain complex ETL jobs and frameworks using the Bank's standard tools.
9. Provide support to the development and testing teams to resolve data issues, including escalation support on complex issues.
10. Support partners and stakeholders in interpreting and analyzing data.
11. Build effective working relationships within own pod and across partner teams to encourage collaboration on all pod deliverables.
12. Coordinate with technology work teams such as ITS, ARE, Architecture, Enterprise Protect etc. to ensure overall delivery success.
13. Support the QA team with data analysis/investigations of complex issues/test cases as part of SIT/UAT/PAT testing.
14. Provide oversight on post implementation activities during the warranty period.
15. Execute & approve code check-in/check-out into source code repository as part of source code management.
16. Work closely with ITS/ARE teams to support code packaging & deployment (CI & CD) into higher environments.
17. Be the lead participant in the design & architecture reviews or the application.
18. Raise service-now requests and work with the change management team to support release management activities.
19. Lead data engineering initiatives and capabilities, data governance principles and how they apply across the organization.
20. Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes.
21. Adhere & contribute towards standard security coding practices to ensure application is free of most common coding vulnerabilities.
22. Ensure technical decisions, technical risks and lessons learned are identified, clearly documented and enhancements are accordingly implemented.
23. Protect the interests of the organization – identify and manage risks, and escalate non-standard, high-risk activities as necessary.

Job Details

• Location: Toronto, ON
• Workplace information: On site
• Salary: $26.00 to $78.00 HOUR hourly
• Terms of employment: Permanent employment Full time
• Starts as soon as possible
• Vacancies: 1 vacancy
• Source: CareerBeacon #2136231

Advertised until

2025-05-15