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

Full-time Other-General

Role: AWS Data Engineer With Strong SQL

Location: Toronto, Hybrid

Experience Level: 8-12 yrs

Job Summary

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.

Key Responsibilities

Develop, and optimize complex SQL queries and stored procedures for high-performance data processing and transformation.

• Build and maintain scalable ETL/ELT pipelines on AWS using services such as Glue, Lambda, S3, Athena, Redshift, Kafka, Airflow, and Step Functions.
• Implement and maintain data integration solutions from various data sources into a centralized data lake or data warehouse.
• Collaborate with data analyst...