Sr. Data Engineer - 55404
S.i. Systèmes
Toronto, ON-
Nombre de poste(s) à combler : 1
- Salaire À discuter
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Emploi Contrat
- Publié le 2 juin 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
Business Unit: FCRM Transformation Delivery and Enablement
Duration: Until Oct 2025
Extension possible: yes
Interview Process: 1 round interview
Work Location : 79 Wellington Street West, 9th floor, Toronto
Hybrid- 2 days on site
CANDIDATE PROFILE DETAILS:
Years of experience: : 7+ years
Reason for request/why opened: Net new
% Interaction with Stakeholders: Vast majority of the time
Team Size: small scale
Project: : Single project assignment- urgent regulatory project
How will performance be measured: Deliverables and deadlines being met, accuracy of SQL codes, good documentation of the code
Best vs Average Candidate:
Perform data analysis using SQL, propose data quality rules.
Self-starter who is able to explore data, write accurate SQL codes, create data lineage document.
Ensure data is maintained in compliance with enterprise data standards, policies, and guidelines.
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.
Execute code check-in/ check-out into source code repository as part of source code management.
Work closely with technology team to support code packaging & deployment into higher environments.
MUST HAVE:
Business Mindset with experience in creating requirements for technology team
Out-of-box thinking
Data Exploration, wrangling experience
Data quality rules design
Data Analytics experience
SQL experience
Excellent communication skills
NICE TO HAVE
Banking experience
AML experience
Oracle SQL experience
Regulatory project experience
DISQUALIFIERS - is there any information/experience on a candidate’s resume that would disqualify them from consideration for this position?
Exclusion Criteria:
Data Architecture experience
Prior experience with migrating data from one source to another
Back-end database management
Building ETL pipelines
Deployment of software packages
Developing Azure pipelines
Worked on projects where requirements were provided by business team
Exigences
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