Data Engineer

4 days ago

Ontario ON, Canada Galent Full time

Key ResponsibilitiesDesign, develop, and optimize data pipelines using Databricks and PySpark.Build scalable ETL/ELT data solutions integrating data from various structured and unstructured sources.Work extensively with Azure Data Lake Storage (ADLS) for data ingestion, transformation, and storage.Develop robust, reusable, and high-performance code in Python.Create and maintain SQL scripts, queries, and stored procedures to support data transformations and analytics.Implement data workflows using Azure Data Factory (ADF).Apply functional programming principles to build clean, modular, and testable data processing logic.Collaborate with cross-functional teams in an Agile environment to deliver end-to-end data engineering solutions.Ensure data quality, data governance, and best practices in pipeline development.Perform performance tuning, debugging, and troubleshooting of pipelines and jobs.Required Skills & Qualifications5+ years of experience as a Data Engineer or similar role.Strong expertise with Databricks notebooks, workflows, and cluster management.Hands-on experience with PySpark for distributed data processing.Strong proficiency in Python and SQL.Experience with Azure Data Lake, ADF, and other components of Azure data services.Background in functional programming concepts and best practices.Experience working in Agile methodologies (Scrum/Kanban).Excellent problem-solving and communication skills.

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