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