Opportunity Description
Transform data into insights as an AWS Data Engineer in Toronto, focusing on strong SQL and AWS technologies. This hybrid position emphasizes building scalable data systems and pipelines.We're seeking a technically savvy Data Engineer with 8-12 years of experience specializing in SQL and AWS solutions. The role requires designing and optimizing data pipelines that facilitate comprehensive analytics and reporting. Your contributions will be vital for enhancing the organization's data capabilities.Key Responsibilities:
• Design and deploy scalable data pipelines in AWS
• Optimize data systems for effective analytics
• Collaborate with reporting teams to fulfill data needs
• Create robust stored procedures in SQL
• Ensure high standards of data security and integrityRequirements:
• 8-12 years in data engineering roles
• Strong proficiency in SQL, especially stored procedures
• Familiarity with AWS GLUE, Lambda, and S3
• Experience with PySpark and Kafka solution...
• Design and deploy scalable data pipelines in AWS
• Optimize data systems for effective analytics
• Collaborate with reporting teams to fulfill data needs
• Create robust stored procedures in SQL
• Ensure high standards of data security and integrityRequirements:
• 8-12 years in data engineering roles
• Strong proficiency in SQL, especially stored procedures
• Familiarity with AWS GLUE, Lambda, and S3
• Experience with PySpark and Kafka solution...
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