AWS Data Engineer with Strong SQL, GLUE, Lambda, S3, PySpark, Kafka

<p><b>Role: AWS Data Engineer With Strong SQL<br /> Location: Toronto, Hybrid<br /> Experience Level: 8-12 yrs</b></p> <p><b>Job Summary</b><br /> <br /> We are seeking a highly skilled Data Engineer with deep expertise in SQL (including stored procedures) and AWS-based data engineering solutions. You will be responsible for designing, building, and optimizing scalable data pipelines and systems that enable analytics, reporting, and data-driven decision-making across the organization.</p> <p><b>Key Responsibilities</b></p> <p> Develop, and optimize complex SQL queries and stored procedures for high-performance data processing and transformation.</p> <ul> <li> <p>Build and maintain scalable ETL/ELT pipelines on AWS using services such as Glue, Lambda, S3, Athena, Redshift, Kafka, Airflow, and Step Functions.</p> </li> <li> <p>Implement and...