Senior Data Consultant focused on Databricks engineering, data pipelines, and production support.
Locations (2)
Toronto, Canada
Montreal, Quebec, Canada
Compensation
The expected base compensation for this position ranges from $110,000 to $120,000 CAD annually, depending on experience, skills, location, and internal equity.
Responsibilities
Develop, maintain, and optimize Databricks data pipelines and transformations using Python, PySpark, SQL, and notebooks, supporting modern lakehouse and medallion architectures (Bronze, Silver, Gold).
Ensure data quality, reliability and performance through pipeline testing, QA validation, gap analysis, troubleshooting, and production incident resolution.
Collaborate with business and technical stakeholders to validate requirements, project scope, and acceptance criteria before development.
Proactively identify and communicate blockers, dependencies, and delivery risks, ensuring transparency and timely resolution throughout the project.
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