Job Title: Data Engineer

Job Type: Full Time

Location: Toronto, ON (Onsite) We are seeking an experienced Data Engineer with robust 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 - Strong 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

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