Senior AWS Data Engineer — Real-Time Data Pipelines

Apptoza Inc.; Toronto; On-site; CAD 120,000 - 160,000; Full time

Job summary

Apptoza Inc. in Toronto seeks a Senior AWS Data Engineer with 12+ years of hands-on experience designing, building, and supporting enterprise-scale data platforms on AWS.

The role requires delivering scalable data pipelines and production-grade cloud solutions in a fast-paced environment. You will design and maintain data pipelines, build ETL/ELT workflows with Glue, develop serverless processing with Lambda, and manage data lakes on S3 and Redshift.

Qualifications

• 12+ years of data engineering experience.
• Strong hands-on AWS data engineering expertise.
• Experience with ETL/ELT development and real-time streaming.
• Proficient in SQL and Python.
• Experience with OLTP/OLAP databases.
• IaC experience with AWS CDK or Terraform.
• Banking or financial services domain experience preferred.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines on AWS.
• Build and optimize ETL/ELT workflows using AWS Glue.
• Develop serverless data processing with AWS Lambda.
• Design and manage data lakes with S3.
• Develop and optimize data warehouses with Redshift.
• Work with DynamoDB and other AWS data services.
• Build real-time streaming solutions with Kinesis and Kafka.
• Develop, schedule, and monitor workflows with Airflow.
• Write complex SQL queries and optimize performance.
• Implement IaC using AWS CDK or Terraform.
• Collaborate with cross-functional teams and participate in Agile sprints.

Skills

Data engineering

Cloud data platforms

ETL/ELT development

SQL

Python

Real-time streaming

Agile development

Production-grade systems

Troubleshooting

Communication

Tools

AWS Glue

Amazon S3

AWS Lambda

Amazon Redshift

Amazon DynamoDB

Amazon Kinesis

Apache Kafka

Apache Airflow

AWS CDK

Terraform

PySpark

Job description

Apptoza Inc. in Toronto seeks a Senior AWS Data Engineer with 12+ years of hands-on experience designing, building, and supporting enterprise-scale data platforms on AWS.

The role requires delivering scalable data pipelines and production-grade cloud solutions in a fast-paced environment. You will design and maintain data pipelines, build ETL/ELT workflows with Glue, develop serverless processing with Lambda, and manage data lakes on S3 and Redshift.