Sr. Data Engineer

1 week ago


Old Toronto, Canada InfoTek Consulting Full time
Job Description

Sr. Data Engineer - JOB-27050
Prospective Start Date: 26 Aug 2024
Prospective End Date: 29 Aug 2025
Location: 20 Queen Street West
Physical Presence: 4 days In Office - 1 day a week remote at home

Job Description:
We are looking for a Senior Data Engineer to join our client’s Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.

Soft skills are key here - this person needs to be a self-starter who takes initiative, with strong communication and collaboration skills. They'll be expected to engage in a size and scope exercise alongside the other team members (Product Manager, Data Architect, Business Analyst, Data Engineers, Developers).

They will be working on a mix of projects within finance, leasing, marketing, and operations LOBs, so their time will be allotted after the scoping session based on complexity and length of projects.

Must Have Skills:
Technical criteria needed include being strong with Informatica IICS, Snowflake, Python, AWS, and a technically broad experience of around 10 years. They will be working with batched reporting, but possibly using real-time in the future.

Majority of reports are executive reports, so they are high impact and this person needs to be mindful of how data is being presented - great problem-solving skills are important here.

IICS, Tableau, Snowflake, Python - everything has been configured and is in place and on the cloud, no set up or that kind of work required. Might be engaged sometimes if there's some tools that need batch updates. Sometimes admin experience will be required in terms of how to set up pipelines, sometimes interacting with vendors, working with the CloudOps team when API is getting enabled with vendors, getting correct permissions etc.

Must be on site at downtown Toronto head office location 4 days/week.

Nice to Have Skills:

  • QA framework, validation framework, or control audit framework
  • Experience with Data Vault 2.0 (they're moving from traditional modelling to Data Vault 2.0)
  • Real estate or retail experience is a bonus but not necessary.
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