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Sr. Data Engineer - 55404

Toronto, ON
  • Nombre de poste(s) à combler : 1

  • À discuter
  • Emploi Contrat

  • Date d'entrée en fonction : 1 poste à combler dès que possible

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


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