
Cloud Engineer
Role summary
Seeking an experienced AWS Data Engineer for a 1-year contract role in a hybrid Toronto-based banking environment. The engineer will design, develop, and optimize scalable data solutions, including ETL/ELT workflows and data pipelines using AWS services like Glue, S3, Redshift, Lambda, and EMR. Responsibilities include ensuring data quality, security, and governance, collaborating with stakeholders, and monitoring pipeline performance. Proficiency in Python, SQL, data modeling, and orchestration tools like Airflow is required, along with familiarity with CI/CD and Git.
Title: AWS Data Engineer
📍 Toronto | Hybrid (3 Days/Week)
Duration : 1-Year Contract (Extension Possible)
We are seeking an experienced
AWS Data Engineer
to build and optimize scalable data solutions in a fast-paced banking environment.
🔧
Key Responsibilities
• Design & develop data pipelines using
AWS (Glue, S3, Redshift, Lambda, EMR)
• Build and optimize
ETL/ELT workflows
• Collaborate with stakeholders to gather data requirements
• Ensure
data quality, security, and governance
• Monitor and troubleshoot pipeline performance
✅
Required Skills
• 8+ years in
Data Engineering (Cloud preferred)
• Strong AWS experience:
Glue, Redshift, S3, Lambda, EMR, Athena
• Proficiency in
Python & SQL
• Knowledge of
data modeling, OLAP/OLTP, data warehousing
• Experience with orchestration tools (
Airflow / Step Functions
)
• Familiarity with
CI/CD & Git
⭐
Nice to Have
• Real-time processing (
Kinesis, Kafka
)
• IaC tools (
Terraform / CloudFormation
)
• DevOps exposure
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