Data Engineer

2 days ago

Ontario, Canada Galent Full time

Key Responsibilities Design, 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 & Qualifications 5+ 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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