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Experienced Data Engineer Analytics
Job Description & How to Apply Below
Enhance your career as a Data Engineer focused on building robust data solutions in Toronto. This role emphasizes scalable pipeline creation for effective data access and analytics.
We require a Data Engineer with 5-7 years of experience to design and develop data architectures, including modern data lakes and warehouses. The position involves ensuring compliance with data governance and collaborating with analytics teams to meet business needs.
Key Responsibilities:
• Develop and maintain ETL/ELT data pipelines
• Optimize data architectures for performance
• Monitor and troubleshoot data pipeline issues
• Collaborate with Data Scientists and Analysts
• Automate workflows for increased efficiency
Requirements:
• 5–7 years of experience in Data Engineering
• Proficiency in Python, Scala, or Java
• Experience with SQL and relational databases
• Hands-on with cloud services like GCP or AWS
• Working knowledge of tools like DBT and Airflow
Drive impactful data engineering projects to support analytics and business objectives in Toronto.
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