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Databricks Data Engineer at Pacer Group – Toronto | Jobyssey

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Databricks Data Engineer

Databricks Data Engineer

Pacer Group · Toronto, Canada · 2 weeks ago

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Employment: Contract
Category: Data engineering
Experience: 12+ years
Salary: CAD 57 – 59 / hour

ai aws cad ci-cd data-engineering data-modeling data-quality databricks dbt devops elt

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metadata-management

test-automation

Contract (6-12 month) data engineer role in Toronto on a hybrid schedule (3 days/week in office), working on large-scale data platforms for a BFSI client. Day to day involves building ETL/ELT pipelines with AWS data services and the Databricks/Spark ecosystem, plus data modeling and CI/CD-driven deployments.

Work Arrangement: Hybrid (3 days a week)

Employment Type: Contract

Duration: 06-12 Months

Pay Rate: CAD 57-59/hour Incorporated

Domain: BFSI

Application Deadline: Sept. 30th, 2026

SKILLS REQUIRED:

12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.
Expert knowledge of AWS Data Services and Databricks/Spark ecosystem.
Strong expertise in data modeling (Dimensional, Canonical, Data Vault, Domain-Driven).
Advanced SQL and Python development skills with ETL/ELT experience.
Experience with CI/CD, GitHub, DevOps practices, automated testing, and production deployments.
Proven ability to work independently and lead solutions in ambiguous business environments.

Preferred Qualifications

Experience in Asset Management, Wealth Management, or Financial Services.
Knowledge of data quality frameworks, metadata management, dbt, semantic layers, or data mesh concepts.
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).

EEOC Compliance:

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

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