AWS Data Engineer (CDK
- Toronto, ON, Canada
- Greater Toronto Area, Canada, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
Iris's client, one of the world's largest multinational investment banking and financial services corporation is looking to hire an AWS Data Engineer (CDK) 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 (CDK)
Location: Toronto, ON (Hybrid)
Duration: 24 Months
Job Description:
Key Responsibilities
- Lead AWS DataOps Platform initiatives and onboarding of multiple business use cases.
- Own client communication, technical delivery, offshore coordination, and issue resolution.
- Drive reusable data pipelines, infrastructure automation, CI/CD, and platform scalability.
- Collaborate with Data Engineers, Data Modelers, Architects, and AI/ML teams.
- Ensure data security, governance, reliability, and cost optimization.
Required Skills:
- Strong AWS expertise (S3, Glue, Lambda, IAM, EKS, Redshift).
- Hands-on experience with AWS CDK/Terraform, Docker, Kubernetes, and GitHub Actions.
- Knowledge of DataOps, ETL/ELT, data pipelines, and MLOps.
- Proven technical leadership, stakeholder management, and distributed team coordination.
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
More about this job
Responsibilities
Lead AWS DataOps platform initiatives and onboard business use cases, owning client communication, technical delivery, offshore coordination, and issue resolution. Build reusable data pipelines and automated infrastructure, support CI/CD and platform scalability, and collaborate across data, architecture, and AI/ML teams while ensuring security, governance, reliability, and cost optimization.
Requirements
Requires strong AWS expertise, including S3, Glue, Lambda, IAM, EKS, and Redshift, plus hands-on experience with AWS CDK or Terraform, Docker, Kubernetes, and GitHub Actions. Candidates should know DataOps, ETL/ELT, data pipelines, and MLOps, and demonstrate technical leadership, stakeholder management, and distributed-team coordination.
Skills
- AWS
- AWS CDK
- Terraform
- Amazon S3
- AWS Glue
- AWS Lambda
- AWS IAM
- Amazon EKS
- Amazon Redshift
- Docker
- Kubernetes
- GitHub Actions
- DataOps
- ETL/ELT
- Data Pipelines
- MLOps
Visa sponsorship
Not detected in the job text
Hiring contact
Neeraj Singh
Categories
- Technology
- Data & Analytics
- Software
- Finance & Accounting
- Management & Leadership
Keywords
- AWS
- AWS CDK
- Terraform
- Amazon S3
- AWS Glue
- AWS Lambda
- AWS IAM
- Amazon EKS
- Amazon Redshift
- Docker
- Kubernetes
- GitHub Actions
- DataOps
- ETL/ELT
- Data Pipelines
- MLOps
- Infrastructure Automation
- CI/CD
- Data Security
- Data Governance
- Platform Scalability
- Cost Optimization
- Technical Leadership
- Stakeholder Management
- Distributed Team Coordination
- Investment Banking
- Financial Services