Hybrid AWS Data Engineer

Elevate your data engineering career as an AWS Data Engineer in Toronto with strong SQL skills. This hybrid role involves designing and optimizing data pipelines and systems.
We're looking for a highly skilled Data Engineer experienced with AWS and a deep understanding of SQL, including stored procedures. This position focuses on building scalable data solutions that empower analytics and reporting. You will play a key role in enhancing data infrastructure to support decision-making processes.

Key Responsibilities:

• Design and implement scalable data pipelines

• Optimize existing data systems for improved performance

• Collaborate with analytics teams for reporting needs

• Develop stored procedures in SQL for data processing

• Ensure data integrity and security across platforms
Requirements:

• 8-12 years of experience in data engineering

• Strong SQL skills with expertise in stored procedures

• Proficiency in AWS services like GLUE, Lambda, S3

• Experience with PySpark and Kafka

• Ability to work effectively in a hybrid model
Bring your SQL expertise and AWS experience to drive data engineering success in Toronto.
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