Data Engineer
- Toronto, ON, Canada
$70 to $82 CAD / hour · Contract
Applications open in a new tab.
Job details
- Pay
- $70 to $82 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 3+ years of Data Engineering experience
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
Must-Have Skills
- Strong Python development experience.
- Advanced SQL skills.
- 3+ years of Data Engineering experience
- Hands-on experience developing and migrating data pipelines.
- Proven experience migrating data/workloads from on-premises environments to AWS.
- Strong hands-on experience working within the AWS ecosystem.
- Experience integrating and transforming data from multiple sources.
- Strong communication and stakeholder-management skills.
- Ability to operate in a consultative capacity, working directly with the business.
Experience working within a large enterprise environment.
Nice to Have Skills & Experience
Banking / FS experience
Commercial Banking
Job Description
We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision
Key Responsibilities
- Design, develop, and maintain data pipelines.
- Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.
- Gather, integrate, transform, and prepare data from multiple sources.
- Use Python and SQL extensively for data development and manipulation.
- Support integration of data into existing enterprise platforms and applications.
- Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.
- Support ML/MLOps integration into production environments where applicable.
- Work within an enterprise environment supporting business-critical applications and workflows.
- Communicate technical concepts clearly to both technical and non-technical stakeholders.
Must-Have Skills
- Strong Python development experience.
- Advanced SQL skills.
- 3+ years of Data Engineering experience
- Hands-on experience developing and migrating data pipelines.
- Proven experience migrating data/workloads from on-premises environments to AWS.
- Strong hands-on experience working within the AWS ecosystem.
- Experience integrating and transforming data from multiple sources.
- Strong communication and stakeholder-management skills.
- Ability to operate in a consultative capacity, working directly with the business.
- Experience working within a large enterprise environment.
Pay: 70-82
Vacancy: New Vacancy (New Role)
We do use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.
More about this job
Responsibilities
Design, develop, and maintain data pipelines, integrate and transform data from multiple sources, and migrate existing pipelines and workloads from on-premises infrastructure to AWS. Partner with business and technical stakeholders to deliver enterprise data solutions and support the integration of machine learning and MLOps into production environments where applicable.
Requirements
Requires at least three years of data engineering experience, strong Python and advanced SQL skills, hands-on data pipeline development and migration experience, and proven experience migrating workloads from on-premises environments to AWS. Candidates should also have experience integrating data from multiple sources, working in a large enterprise, and communicating effectively with business stakeholders.
Skills
- Python
- Advanced SQL
- Data Engineering
- Data Pipeline Development
- Data Pipeline Migration
- AWS
- On-Premises-to-Cloud Migration
- Data Integration
- Data Transformation
- Machine Learning
- MLOps
- Stakeholder Management
- Enterprise Data Platforms
- Business Communication
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Consulting
Keywords
- Python
- SQL
- Data Engineering
- AWS
- Data Pipelines
- Pipeline Migration
- On-Premises Migration
- Cloud Migration
- Data Integration
- Data Transformation
- Multiple Data Sources
- Machine Learning
- MLOps
- Production Environments
- Enterprise Platforms
- Enterprise Transformation
- Commercial Banking
- Underwriting
- AI Enablement
- Automation
- Stakeholder Management
- Business Requirements
- Business-Critical Applications
- Data Workloads