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 - Senior Jp210 (Fredericton)
🏢 P@thlion Staffing Careers
📍 Fredericton