Job Title: Data Engineer
Job Type: Full Time
Location: Toronto, ON (Onsite)

Job Description
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
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

Solid 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

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📌 Data Engineer (Ontario)
🏢 AceStack
📍 Ontario