MUST HAVES
Must Haves: 5+ years experience Azure setting
5+ years experience Data engineering with ADF and Databricks
5+ years experience Programming experience with Python, SQL Location: 3 days onsite
Responsibilities Participate in product teams to analyze systems requirements, architect, design, code and implement cloud-based data and analytics products that conform to standards
Design, create, and maintain cloud-based data lake and lakehouse structures, automated data pipelines, analytics models
Liaises with cluster IT colleagues to implement products, conduct reviews, resolve operational problems, and support business partners in effective use of cloud-based data and analytics products.
Analyze complex technical issues,



identify alternatives and recommend solutions.
Support the migration of legacy data pipelines from Azure Synapse Analytics and Azure Data Factory (including stored procedures, views used by BI teams, and Parquet files in Azure Data Lake Storage (ADLS)) to modernized Databricks-based solutions leveraging Delta Lake and native orchestration capabilities
Support the development of standards and a reusable framework that streamlines pipeline creation
Participate in code reviews and prepare/conduct knowledge

📌 Data Science Developer (Toronto)
🏢 FlexStaf IT
📍 Toronto