Apply on Kit Job: kitjob.ca/job/2g9m70

Join an innovative data analytics team as a Data Engineer.

You'll design and optimize scalable data pipelines in cloud environments, ensuring high-performance data workflows and analytics.

In this entry-level role, you will play a pivotal part in creating ETL workflows, managing Azure-based data solutions, and overseeing API integrations for seamless data exchange.

Collaborate closely with data scientists and analysts to deliver reliable data for predictive models.

Your focus will be on data quality and effective performance in a hybrid work setting.

Key Responsibilities:
• Develop ETL workflows with Python and Microsoft technologies
• Manage Azure Data Lake Storage and SQL solutions
• Optimize data pipelines for performance and scalability




• Ensure data quality with validation checks
• Build Python-based data services using open-source libraries

Requirements:
• Bachelor’s degree in Data Science, Computer Science, or related field
• 3+ years of experience with data pipelines or machine learning
• Proficiency in Python and SQL required
• Familiarity with Azure services and ETL processes
• Solid attention to detail and communication skills

Enhance your career in data engineering by developing robust pipelines and workflows for impactful analytics.
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Apply on Kit Job: kitjob.ca/job/2g9m70

📌 Data Engineer for Scalable Pipelines (Canada)
🏢 eSimplicity
📍 Canada