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Associate Data Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: jobs.hanzilla.co - Jobboard
Full Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Security, Data Science Manager
Salary/Wage Range or Industry Benchmark: 59500 - 84000 CAD Yearly CAD 59500.00 84000.00 YEAR
Job Description & How to Apply Below
Associate Data Engineer Data / ML# Associate Data Engineer at TD
** Location
* * Toronto, Ontario
** Details
* * Full-time · $59,500-$84,000 CAD
** Posted
* * Jun 10, 2026

Apply on company site →Direct apply link, refreshed by the daily generator.## About the Role Develop ETL pipelines, analyze data, support QA testing## About TD Canadian bank with data-driven strategies## Full Description
** Lieu De Travail
** Toronto, Ontario, Canada
** Horaire
* * 37.5
** Secteur D’activité
** Solutions technologiques
** Détails De La Rémunération**$59,500 - $84,000 CADLa TD a à cœur d’offrir une rémunération juste et équitable à tous les collègues. Les occasions de croissance et le perfectionnement des compétences sont des caractéristiques essentielles de l’expérience collègue à la TD. Nos politiques et pratiques en matière de rémunération ont été conçues pour permettre aux collègues de progresser dans l’échelle salariale au fil du temps, à mesure qu’ils s’améliorent dans leurs fonctions.

Le salaire de base offert peut varier en fonction des compétences et de l’expérience du candidat, de ses connaissances professionnelles, de son emplacement géographique et d’autres besoins particuliers du secteur et de l’entreprise.

En tant que candidat, nous vous encourageons à poser des questions sur la rémunération et à avoir une conversation franche avec votre recruteur, qui pourra vous fournir des détails plus précis sur ce poste.
** Description Du Poste
** 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  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
*** Perform data analysis and assess data management requirements
* Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines
* Develop and maintain ETL jobs using the Bank's standard tools
* Provide support to the development and testing teams to resolve data issues
* Support partners and stakeholders in interpreting and analyzing data
* 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
* Raise service-now requests and work with the change management team to support release management activities
* Ensure metadata and data lineage is captured and compatible with enterprise metadata and data management tools and processes
* Ensure technical decisions, technical risks and lessons learned are clearly documented and enhancements are 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 accordingly implemented
* Working knowledge of data engineering frameworks, technologies, tools, processes, patterns, and procedures
* Knowledge in Azure technologies such ADLS, Azure Databricks, Azure Data Factory, Synapse.
* Experience in SQL for data analysis
* 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
** Experience And / Or Education
*** Degree, Postgraduate Degree, or Technical Certificate in Data Management or related discipline (e.g. Computer Science, Engineering), or equivalent practical…
Position Requirements
10+ Years work experience
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