Elevate your career as a Hybrid AWS Data Engineer in Toronto, ON. This long-term contract role demands expertise in Python, PySpark, and SQL to develop robust data pipelines for banking applications. We seek an experienced AWS Data Engineer for a Toronto-based project lasting over a year.

You will build scalable data processing solutions and work with Redshift, Athena, and EMR, ensuring data integrity through transformations and quality checks. Additionally, your role includes troubleshooting, optimizing pipelines, and implementing CI/CD processes using tools such as Git and Jenkins. Key Responsibilities:
Build data processing solutions with Python and SQL
Utilize Redshift and Athena for analytics tasks
Perform validations, reconciliation,



and quality checks
Optimize data pipelines and resolve production issues
Implement CI/CD using tools like Terraform and Jenkins Requirements:
8+ years of data engineering experience
Proficiency in AWS services including S3 and Glue
Familiarity with CI/CD processes
Knowledge of data governance in the banking sector
Experience with Kafka, Snowflake, or Databricks preferred Combine your data engineering skills with AWS experience to make a significant impact in the financial sector.

📌 Hybrid Aws Data Engineer In Toronto
🏢 apptoza
📍 Toronto