Data Engineer
- Toronto, ON, Canada
$70 to $80 CAD / hour · Contract
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Job details
- Pay
- $70 to $80 CAD / hour
- Job type
- Contract
- Apply by
- Experience
- 3+ years of Data Engineering experience
- Posting language
- English
- Posted
Original job description
Required Skills & Experience
- 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.
Artificial intelligence tools are used to assist in screening and assessing applicants for this position. This role is vacant to support a new project. The hourly rate ranges from $70-80/hr.
More about this job
Responsibilities
Design, develop, and maintain data pipelines; migrate existing pipelines and workloads from on-premises infrastructure to AWS; and integrate and prepare data from multiple sources using Python and SQL. Partner with business and technical stakeholders to deliver enterprise 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 pipeline development and migration experience, and proven experience moving workloads from on-premises environments to AWS. Candidates should also have experience integrating data from multiple sources, working in large enterprises, and communicating and consulting 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
- Business Communication
- Enterprise Environments
- Commercial Banking
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
- Consulting
Keywords
- Python
- SQL
- Data Engineering
- Data Pipelines
- AWS
- Cloud Migration
- On-Premises Infrastructure
- Data Integration
- Data Transformation
- Machine Learning
- MLOps
- Production Environments
- Enterprise Platforms
- Enterprise Applications
- Stakeholder Management
- Business Requirements
- Commercial Banking
- Underwriting
- AI Enablement
- Automation
- Business-Critical Applications
- Data Workloads