Opportunity Description
Drive innovation in data analytics with KPI Sight as a full-time Data Engineer in Toronto. This hybrid role focuses on developing and migrating data pipelines crucial for analytics.
As a key member of KPI Sight, you will design, build, and maintain critical data pipelines. Your role will involve migrating outdated systems into advanced structures, requiring at least two years of hands-on data engineering experience. Proficiency in Python, data modeling, and familiarity with cloud platforms like AWS is crucial for success.
Key Responsibilities:
• Design new data pipeline structures for analytics
• Migrate existing pipelines to upgraded solutions
• Ensure efficient operation of data systems
• Contribute to the data modeling process
• Employ best practices in data engineering
Requirements:
• 2+ years of experience in data engineering
• Expertise in Python programming
• Background in cloud services (AWS,...
As a key member of KPI Sight, you will design, build, and maintain critical data pipelines. Your role will involve migrating outdated systems into advanced structures, requiring at least two years of hands-on data engineering experience. Proficiency in Python, data modeling, and familiarity with cloud platforms like AWS is crucial for success.
Key Responsibilities:
• Design new data pipeline structures for analytics
• Migrate existing pipelines to upgraded solutions
• Ensure efficient operation of data systems
• Contribute to the data modeling process
• Employ best practices in data engineering
Requirements:
• 2+ years of experience in data engineering
• Expertise in Python programming
• Background in cloud services (AWS,...
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