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Iris Software Inc.

AWS Data Engineer

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 13, 2026
Experience: 6+ years of overall IT experience with a minimum of 3 years of hands-on experience as a Data Engineer or equivalent role.
Posting language: English
Posted: Nov 13, 2026

Original job description

Iris's client, one of the world's largest multinational investment banking and financial services corporation is looking to hire a AWS Data Engineer Our direct client is a is a world-leading financial services company, provides consumers, corporations, governments, and institutions with a broad range of financial services and products.

Title: AWS Data Engineer

Location: Toronto, ON (Hybrid)

Duration: 24+ Months

Job Summary: We are seeking an experienced AWS Data Engineer with 6+ years of overall IT experience, including at least 3 years in data engineering or a similar role. The ideal candidate will have strong expertise in AWS cloud technologies, data integration, ETL/ELT processes, and building scalable data pipelines. This role requires excellent communication skills and the ability to work effectively in onsite-offshore delivery models.

Key Responsibilities

Design, develop, and maintain scalable and reliable data pipelines on AWS.
Build and optimize data ingestion, transformation, and processing workflows.
Work closely with business stakeholders, architects, and development teams to deliver data solutions.
Implement data engineering best practices for performance, scalability, security, and cost optimization.
Monitor and troubleshoot data workflows and pipeline failures.
Collaborate with onsite and offshore teams to ensure successful project delivery.
Support data modernization, migration, and cloud transformation initiatives.

Required Qualifications:

6+ years of overall IT experience with a minimum of 3 years of hands-on experience as a Data Engineer or equivalent role.
Strong understanding of AWS core services and cloud architecture best practices.
Experience designing and implementing data solutions in AWS environments.
Solid knowledge of data warehousing, ETL/ELT processes, and data modeling concepts.
Strong analytical, problem-solving, and communication skills.
Experience working in onsite/offshore engagement models.

About Iris Software Inc.

Iris Software, Inc. (registered as SSA Infosystems in Canada) is a CMMi Level 5 New Jersey based company providing information technology solutions to clients nationwide for over 30 years. Iris has been growing at over 100% annually. In a program sponsored by Price Waterhouse, PNC Bank and Marsh, Iris has been honored for being

One of New Jersey's Finest 25 companies for the year 2001 and 2002.

Iris is also ranked 75th among Inc 500 s list of privately held companies for year 2001.

NJ Technology FAST 50 Company for year 2002.

In a competitive industry, we distinguish ourselves by reliability, technical expertise and a history of successfully completed projects for clients ranging from mid-sized to Fortune 1000 companies.

Regards,

Neeraj Singh

Executive - TA

Apply on LinkedIn About employer

More about this job

Responsibilities

Design, build, optimize, and maintain scalable AWS data pipelines and workflows for data ingestion, transformation, and processing. Collaborate with stakeholders and onsite-offshore teams to deliver data solutions, troubleshoot pipeline issues, and support modernization, migration, and cloud transformation initiatives.

Requirements

Requires 6+ years of overall IT experience, including at least 3 years of hands-on data engineering or equivalent experience. Candidates should have strong AWS and cloud architecture knowledge, experience implementing AWS data solutions, and solid understanding of data warehousing, ETL/ELT, data modeling, communication, and onsite-offshore delivery.

Skills

AWS
Data Engineering
Data Pipelines
Data Ingestion
Data Transformation
ETL/ELT
Data Warehousing
Data Modeling
Cloud Architecture
Data Integration
Performance Optimization
Scalability
Cloud Security
Cost Optimization
Troubleshooting
Communication

Visa sponsorship

Not detected in the job text

Hiring contact

Neeraj Singh

Keywords

AWS
Cloud Technologies
Cloud Architecture
Data Engineering
Data Integration
Data Pipelines
Data Ingestion
Data Transformation
Data Processing
ETL/ELT
Data Warehousing
Data Modeling
Scalable Data Solutions
Performance Optimization
Cloud Security
Cost Optimization
Workflow Monitoring
Pipeline Troubleshooting
Data Modernization
Data Migration
Cloud Transformation
Onsite-Offshore Delivery
Financial Services
Investment Banking

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Jobs in Canada