Drive innovation as a Lead Data Engineer specializing in Azure technologies within a hybrid work model. Use your skills in Databricks Workflows and PySpark to craft high-impact data solutions that support analytics initiatives.
This role requires an experienced developer with 6 to 8 years in data solutions who is ready to collaborate across departments. You will be responsible for optimizing data storage and ensuring compliance, working on cutting-edge projects that shape data architecture's future.
Key Responsibilities:
• Implement scalable data solutions using Azure Data Lake Store
• Optimize Databricks Workflows for performance
• Create and maintain data pipelines with PySpark
• Collaborate with multi-disciplinary teams on data integration
• Maintain data security and compliance standards
Requirements:
• 6-8 years in data engineering roles
• Expertise in Azure Data Lake Store and Databricks
• Proficient in PySpark for pipeline development
• Excellent debugging and problem-solving abilities
• Strong documentation skills for technical processes
Enhance your career while influencing data strategies that drive business decisions in a collaborative workplace.
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Apply on Kit Job: kitjob.ca/job/2fsn86
📌 Lead Data Engineer with Azure Focus (Toronto)
🏢 Cognizant
📍 Toronto
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