Role: AWS Data Engineer

Location: Toronto, ON – Hybrid

Contract Role

Job Summary

Key Responsibilities
Design and develop scalable data pipelines and ETL/ELT processes using AWS services.
Develop complex and optimized SQL queries for data extraction, transformation, and analysis.
Build and maintain data solutions using AWS Glue, S3, Lambda, Athena, Redshift, and EMR.
Develop data transformation workflows using Python/PySpark.
Perform data integration from multiple sources into AWS data platforms.
Implement data quality, validation, transformation, and reconciliation processes.
Optimize data pipelines and SQL queries for performance and cost efficiency.
Work with business and analytics teams to understand data requirements.
Troubleshoot data pipeline failures and resolve data-related issues.
Implement automated testing and monitoring for data pipelines.
Follow data governance, security, and compliance best practices.

Required Skills




8+ years of strong Data Engineering experience.
Strong hands-on experience with AWS Cloud data services.
Excellent SQL skills, including complex queries, joins, CTEs, window functions, and query optimization.
Solid experience with AWS Glue and Amazon S3.
Experience with Amazon Redshift and/or Athena.
Robust Python and/or PySpark experience.
Experience developing ETL/ELT pipelines.
Experience with data warehousing and data modeling.
Robust understanding of batch and real-time data processing.
Experience with Git and CI/CD for data engineering projects.

Preferred Skills
AWS Lambda
Amazon EMR
AWS Step Functions
Amazon Kinesis
Apache Spark
Kafka
Airflow
Data Lake / Data Warehouse architecture
AWS Lake Formation / Glue Data Catalog

📌 Aws Data Engineer Toronto (Canada)
🏢 apptoza
📍 Canada