- 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 prospect 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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