Location: Toronto, ON Hybrid Contract: Long Term | Experience: 8+ Years Job Summary

Seeking an experienced

AWS Data Engineer to build and support scalable data pipelines and cloud data platforms for banking and financial services applications. Key Responsibilities

Build data processing solutions using

Python, PySpark, and SQL . Work with

Redshift, Athena, and EMR for data storage and analytics. Perform data transformation, validation, reconciliation, and quality checks. Optimize data pipelines and troubleshoot production issues. Implement CI/CD and infrastructure automation using

Git, Jenkins, Terraform/CloudFormation . Collaborate with data architects, developers, and business teams. Follow banking security, compliance, and data governance standards. Must-Have Skills

AWS | S3 | Glue | Redshift | Athena | EMR | Lambda | Python | PySpark | SQL | ETL/ELT | Data Warehousing | Git | CI/CD Preferred

Kafka/Kinesis, Snowflake, Databricks, Airflow/MWAA, Terraform . Experience with financial, customer, transaction, or regulatory data.

📌 AWS Data Engineer (Toronto)
🏢 apptoza
📍 Toronto