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Human Resources Software, SaaS, Enterprise Software, Technology

Sr. Data Engineer

Toronto, Ontario, CanadaOnsiteFull TimeSeniorPosted 2 months ago

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Role summary

We are seeking a Senior Data Engineer to join our Data & Analytics team. The role requires approximately 10 years of technical experience, with a strong focus on Informatica IICS, Snowflake, Python, and AWS. You will be responsible for working with batched reporting, ensuring data is presented effectively for executive reports. While the core infrastructure is cloud-based, some pipeline administration and vendor interaction may be required. Experience with Data Vault 2.0, QA frameworks, and visualization tools like Tableau are preferred. This is a self-starter role emphasizing communication and problem-solving.

We are looking for a Senior Data Engineer to joint their Data & Analytics team within Data & Technology team, reporting directly to the Director of Data & Analytics.
Soft skills are key here
— this person needs to 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, BA, 2 other Data Engineers, 1 BA Developers).
Technical criteria that’s needed is being strong with
Informatica IICS, Snowflake, Python, AWS, technically broad experience of around 10 years
. They will be working with batched reporting.
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.
Nice To Have Would Be
– 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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