Opportunity Description
Join a dynamic team as a Data Engineer in a hybrid Toronto setting. Your engineering skills will be vital in designing and optimizing critical data pipelines for enhanced analytics and performance evaluation.
With 4-7 years in big data and SQL databases, you’ll be tasked with solving complex data challenges. You will work with Spark Data Frames and Python while developing solutions that empower stakeholders to make informed decisions. This role involves collaborating closely with cross-functional teams to ensure data reliability and scalability.
Key Responsibilities:
• Translate business requirements into data architectures
• Break down technical problems for efficient solutions
• Scale data infrastructure for batch and real-time processes
• Develop automation tools for quality and deployment speed
• Partner with stakeholders to analyze and present data insights
Requirements:
• 4-7 years experience in data engin...
With 4-7 years in big data and SQL databases, you’ll be tasked with solving complex data challenges. You will work with Spark Data Frames and Python while developing solutions that empower stakeholders to make informed decisions. This role involves collaborating closely with cross-functional teams to ensure data reliability and scalability.
Key Responsibilities:
• Translate business requirements into data architectures
• Break down technical problems for efficient solutions
• Scale data infrastructure for batch and real-time processes
• Develop automation tools for quality and deployment speed
• Partner with stakeholders to analyze and present data insights
Requirements:
• 4-7 years experience in data engin...
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