Toronto, Ontario M5V 3L9 Posted October 15th, 2026

Job Type: Full Time

Job Category: IT

Job Title: Data Engineer

Job Type: Full Time

Location: Toronto, ON (Onsite)

We are seeking an experienced Data Engineer with strong data warehouse expertise and extensive experience in the banking and financial services domain. The ideal candidate will have 12+ years of experience in data engineering and hands-on expertise designing and developing scalable data pipelines, data lakes, and data warehouses on AWS.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines and workflows on AWS
- Build and manage data lakes and data warehouses using Amazon S3 and Redshift
- Develop ETL/ELT processes using AWS Glue, Lambda, Spark, and related technologies
- Implement Kafka message processing, batch data ingestion, and business-layer data processing
- Optimize data ingestion, transformation, and loading processes
- Ensure data quality, governance, security, performance, and scalability
- Monitor and troubleshoot data pipelines and workflows using AWS services
- Automate deployments through CI/CD pipelines
- Collaborate with clients, data users, and stakeholders to understand requirements




- Develop reusable data engineering frameworks and design patterns
- Perform data onboarding using established frameworks
- Analyze existing IBM Netezza code and design migration solutions for AWS Data Lake
- Develop unit tests and support QA, SIT, and performance testing
- Support migration and deployment of solutions into production

Required Skills & Experience

- 12+ years of experience in data engineering/data warehousing
- Strong experience in the banking and financial services domain
- Hands-on expertise with Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift
- Experience with AWS Step Functions, IAM, and CloudWatch
- Strong ETL/ELT and data pipeline development experience
- Experience with IBM Netezza and migration to AWS environments
- Knowledge of Kafka, Spark, and batch data processing
- Solid understanding of data warehouse architecture and data lake solutions

Good to Have

- AWS Solutions Architect or Data Analytics certification
- Experience with Airflow or Amazon MWAA
- Exposure to Snowflake, Databricks, or Delta Lake
- Experience with CI/CD and cloud deployment practices

Required Skills

Data Analyst

📌 Data Engineer-6 (Toronto)
🏢 Realign
📍 Toronto