Job Description
Location: Toronto, ON (Hybrid- 4 days onsite, 1 day work from home)
Duration: 1 year (possibility of extension/conversion)
Schedule: M to F – core business hours
Job Description
Develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements. Provides deep technical expertise in data engineering with a focus on Azure Databricks, Python notebook development, job orchestration, API service layers, and scalable data platforms across ADLS, ADF, Azure Databricks (including Unity Catalog and Lakeflow), Azure SQL, Airflow, and SQL. Designs, builds, operationalizes, and supports reliable, secure, and high-performing enterprise‑grade data solutions that can scale to process multi‑millions of records daily in compliance with enterprise and industry standards.
Story behind the need
- Reason for request/why opened: project based <...