- 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.
- Solid 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.
📌 Databricks Data Engineer (Toronto)
🏢 Pacer Group
📍 Toronto
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