Role: Senior AWS Data Engineer - 10+yrs ( Must - AWS CERTIFICATION) Location: Toronto, ON Work Model: Hybrid 3 Days/Week Onsite Duration: 12-Month Contract (Extension Possible) Job Summary We are seeking a Senior AWS Data Engineer with 12+ years of hands-on experience designing, developing, and supporting enterprise-scale data platforms on AWS.

The ideal candidate will be a strong individual contributor with deep expertise in AWS data engineering, ETL development, and real-time data streaming technologies.

This role requires someone who can quickly understand business requirements, build scalable data pipelines, optimize data processing, and support production-grade cloud data solutions in a fast-paced banking setting.

Key Responsibilities Design, develop, and maintain scalable data pipelines using AWS services.

Build and optimize ETL/ELT workflows using AWS Glue (PySpark/Python) .

Develop serverless data processing solutions using AWS Lambda .

Design and manage data lakes using Amazon S3 .

Develop and optimize data warehouse solutions using Amazon Redshift .

Work with Amazon DynamoDB and other AWS data services for high-performance applications.

Build and support real-time data streaming solutions using Amazon Kinesis and/or Apache Kafka .

Develop, schedule, and monitor workflows using Apache Airflow .

Write complex SQL queries and optimize database performance across OLTP and OLAP systems.

Implement Infrastructure as Code (IaC) using AWS CDK or Terraform .

Monitor, troubleshoot,



and support production data pipelines.

Collaborate with cross-functional teams to deliver reliable and scalable data solutions.

Follow Agile development practices and participate in sprint planning, code reviews, and technical discussions.

Required Skills 12+ years of experience in Data Engineering.

Strong hands-on experience with: AWS Glue (PySpark/Python) Amazon S3 AWS Lambda Amazon Redshift Amazon DynamoDB Amazon Kinesis and/or Apache Kafka Apache Airflow SQL Python Strong understanding of ETL/ELT development.

Experience working with OLTP and OLAP databases.

Hands-on experience with Infrastructure as Code (AWS CDK or Terraform) .

Experience building and supporting production-grade AWS data platforms .

Strong analytical, troubleshooting, and problem-solving skills.

Excellent communication and collaboration skills.

Preferred Qualifications Experience in the Banking or Financial Services domain.

Experience with real-time event-driven data architectures.

Familiarity with CI/CD pipelines and Dev

Ops practices.

Knowledge of data governance, security, and AWS best practices. AWS Certifications are an asset.

Ideal Candidate Strong hands-on AWS Data Engineer with proven technical expertise.

Individual contributor capable of designing and developing scalable cloud data solutions.

Experience delivering enterprise-grade AWS data platforms in production environments.

Able to work independently while collaborating effectively with cross-functional teams.

📌 Senior AWS Data Engineer - 10+yrs ( Must - AWS CERTIFICATION) (Toronto)
🏢 Atlantis IT Group
📍 Toronto